modelId stringlengths 4 111 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringlengths 5 30 ⌀ | author stringlengths 2 34 ⌀ | config null | securityStatus null | id stringlengths 4 111 | likes int64 0 9.53k | downloads int64 2 73.6M | library_name stringlengths 2 84 ⌀ | created timestamp[us] | card stringlengths 101 901k | card_len int64 101 901k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Helsinki-NLP/opus-mt-vi-en | 2023-08-16T12:08:32.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"vi",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-vi-en | 7 | 12,859 | transformers | 2022-03-02T23:29:04 | ---
language:
- vi
- en
tags:
- translation
license: apache-2.0
---
### vie-eng
* source group: Vietnamese
* target group: English
* OPUS readme: [vie-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-eng/README.md)
* model: transformer-align
* source language(s): vie vie_Hani
* ta... | 2,084 | [
[
-0.0241851806640625,
-0.048370361328125,
0.022216796875,
0.030029296875,
-0.0267181396484375,
-0.0177459716796875,
-0.021636962890625,
-0.0249176025390625,
0.0188140869140625,
0.0275726318359375,
-0.040283203125,
-0.05712890625,
-0.038116455078125,
0.0215148... |
sultan/BioM-ELECTRA-Large-SQuAD2 | 2021-08-06T22:27:10.000Z | [
"transformers",
"pytorch",
"electra",
"question-answering",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | sultan | null | null | sultan/BioM-ELECTRA-Large-SQuAD2 | 10 | 12,818 | transformers | 2022-03-02T23:29:05 | # BioM-Transformers: Building Large Biomedical Language Models with BERT, ALBERT and ELECTRA
# Abstract
The impact of design choices on the performance
of biomedical language models recently
has been a subject for investigation. In
this paper, we empirically study biomedical
domain adaptation with large transformer ... | 5,144 | [
[
-0.02960205078125,
-0.057098388671875,
0.032073974609375,
0.011383056640625,
-0.0032806396484375,
0.0183563232421875,
-0.0178375244140625,
-0.048797607421875,
0.00876617431640625,
0.01471710205078125,
-0.037384033203125,
-0.0206298828125,
-0.040283203125,
0.... |
sentence-transformers/msmarco-distilbert-base-v4 | 2022-06-15T19:32:25.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"distilbert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/msmarco-distilbert-base-v4 | 3 | 12,808 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/msmarco-distilbert-base-v4
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional d... | 3,714 | [
[
-0.02117919921875,
-0.054046630859375,
0.0218658447265625,
0.033660888671875,
-0.0208740234375,
-0.0262908935546875,
-0.0231475830078125,
-0.0011920928955078125,
0.010498046875,
0.0206146240234375,
-0.042022705078125,
-0.03411865234375,
-0.0611572265625,
0.0... |
OpenAssistant/codellama-13b-oasst-sft-v10 | 2023-08-29T19:16:10.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"custom_code",
"en",
"dataset:OpenAssistant/oasst1",
"dataset:shahules786/orca-best",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | OpenAssistant | null | null | OpenAssistant/codellama-13b-oasst-sft-v10 | 49 | 12,805 | transformers | 2023-08-26T10:13:29 | ---
license: llama2
datasets:
- OpenAssistant/oasst1
- shahules786/orca-best
language:
- en
---
# Open-Assistant CodeLlama 13B SFT v10
This model is an Open-Assistant fine-tuning of Meta's CodeLlama 13B LLM.
**Note**: Due to the new RoPE Theta value (1e6 instead of 1e4), for correct results you must load this model w... | 5,540 | [
[
-0.04351806640625,
-0.06573486328125,
0.021331787109375,
0.0269622802734375,
-0.01485443115234375,
-0.020050048828125,
-0.00848388671875,
-0.034149169921875,
0.0289306640625,
0.0303192138671875,
-0.04931640625,
-0.042205810546875,
-0.04583740234375,
0.023666... |
google/pix2struct-docvqa-base | 2023-05-19T10:06:56.000Z | [
"transformers",
"pytorch",
"pix2struct",
"text2text-generation",
"visual-question-answering",
"en",
"fr",
"ro",
"de",
"multilingual",
"arxiv:2210.03347",
"license:apache-2.0",
"autotrain_compatible",
"has_space",
"region:us"
] | visual-question-answering | google | null | null | google/pix2struct-docvqa-base | 23 | 12,801 | transformers | 2023-03-21T09:45:02 | ---
language:
- en
- fr
- ro
- de
- multilingual
pipeline_tag: visual-question-answering
inference: false
license: apache-2.0
---
# Model card for Pix2Struct - Finetuned on Doc-VQA (Visual Question Answering over scanned documents)
![model_image](https://s3.amazonaws.com/moonup/production/uploads/167871335... | 4,474 | [
[
-0.0290069580078125,
-0.0567626953125,
0.03265380859375,
0.0175323486328125,
-0.0193328857421875,
-0.028472900390625,
-0.003124237060546875,
-0.03399658203125,
-0.01445770263671875,
0.028900146484375,
-0.045928955078125,
-0.017333984375,
-0.0521240234375,
-0... |
garage-bAInd/Platypus2-7B | 2023-08-22T18:32:58.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:garage-bAInd/Open-Platypus",
"arxiv:2308.07317",
"arxiv:2307.09288",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | garage-bAInd | null | null | garage-bAInd/Platypus2-7B | 4 | 12,801 | transformers | 2023-08-22T03:48:58 | ---
license: cc-by-nc-sa-4.0
language:
- en
datasets:
- garage-bAInd/Open-Platypus
---
# Platypus2-7B
**NOTE**: There is some issue with LLaMa-2 7B and fine-tuning only works if you use `fp16=False` and `bf16=True` in the HF trainer. Gathering more intel on this but if you have any thoughts about this issue or perfor... | 5,231 | [
[
-0.02264404296875,
-0.0628662109375,
0.023681640625,
0.0303497314453125,
-0.0272064208984375,
-0.0026874542236328125,
-0.0297088623046875,
-0.037506103515625,
0.001728057861328125,
0.0223388671875,
-0.0389404296875,
-0.0290069580078125,
-0.051055908203125,
-... |
diffusers/controlnet-canny-sdxl-1.0 | 2023-09-19T15:25:43.000Z | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"license:openrail++",
"has_space",
"diffusers:ControlNetModel",
"region:us"
] | text-to-image | diffusers | null | null | diffusers/controlnet-canny-sdxl-1.0 | 392 | 12,789 | diffusers | 2023-08-01T04:34:46 | ---
license: openrail++
base_model: runwayml/stable-diffusion-v1-5
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
inference: false
---
# SDXL-controlnet: Canny
These are controlnet weights trained on [stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/stabili... | 3,580 | [
[
-0.038238525390625,
-0.0245513916015625,
0.01409912109375,
0.0280914306640625,
-0.0208282470703125,
-0.018218994140625,
0.0028057098388671875,
-0.0111541748046875,
0.028778076171875,
0.039764404296875,
-0.044891357421875,
-0.026336669921875,
-0.05023193359375,
... |
Helsinki-NLP/opus-mt-eu-es | 2023-08-16T11:34:06.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eu",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-eu-es | 1 | 12,761 | transformers | 2022-03-02T23:29:04 | ---
language:
- eu
- es
tags:
- translation
license: apache-2.0
---
### eus-spa
* source group: Basque
* target group: Spanish
* OPUS readme: [eus-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-spa/README.md)
* model: transformer-align
* source language(s): eus
* target language... | 2,081 | [
[
-0.0306549072265625,
-0.038848876953125,
0.024688720703125,
0.026641845703125,
-0.0276336669921875,
-0.01447296142578125,
-0.022308349609375,
-0.0277557373046875,
0.0194244384765625,
0.02166748046875,
-0.0491943359375,
-0.055755615234375,
-0.04168701171875,
... |
TheBloke/Llama-2-70B-fp16 | 2023-10-30T15:17:36.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-2",
"en",
"license:llama2",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Llama-2-70B-fp16 | 43 | 12,739 | transformers | 2023-07-19T02:21:20 | ---
inference: false
language:
- en
license: llama2
model_type: llama
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
---
<!-- header start -->
<div style="width: 100%;">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: blo... | 14,033 | [
[
-0.0214385986328125,
-0.052764892578125,
0.0231781005859375,
0.023529052734375,
-0.034393310546875,
0.005573272705078125,
-0.0037555694580078125,
-0.049407958984375,
0.02447509765625,
0.027130126953125,
-0.053253173828125,
-0.028778076171875,
-0.04541015625,
... |
jonfd/electra-small-nordic | 2022-01-31T23:41:26.000Z | [
"transformers",
"pytorch",
"tf",
"electra",
"pretraining",
"is",
"no",
"sv",
"da",
"dataset:igc",
"dataset:ic3",
"dataset:jonfd/ICC",
"dataset:mc4",
"license:cc-by-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null | jonfd | null | null | jonfd/electra-small-nordic | 1 | 12,721 | transformers | 2022-03-02T23:29:05 | ---
language:
- is
- no
- sv
- da
license: cc-by-4.0
datasets:
- igc
- ic3
- jonfd/ICC
- mc4
---
# Nordic ELECTRA-Small
This model was pretrained on the following corpora:
* The [Icelandic Gigaword Corpus](http://igc.arnastofnun.is/) (IGC)
* The Icelandic Common Crawl Corpus (IC3)
* The [Icelandic Crawled Corpus](http... | 1,226 | [
[
-0.024688720703125,
-0.0273895263671875,
0.023834228515625,
-0.00504302978515625,
-0.043792724609375,
0.00608062744140625,
-0.01531219482421875,
-0.031768798828125,
0.0321044921875,
0.0401611328125,
-0.0174102783203125,
-0.03717041015625,
-0.026580810546875,
... |
cross-encoder/nli-roberta-base | 2021-08-05T08:41:05.000Z | [
"transformers",
"pytorch",
"jax",
"roberta",
"text-classification",
"roberta-base",
"zero-shot-classification",
"en",
"dataset:multi_nli",
"dataset:snli",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | zero-shot-classification | cross-encoder | null | null | cross-encoder/nli-roberta-base | 11 | 12,685 | transformers | 2022-03-02T23:29:05 | ---
language: en
pipeline_tag: zero-shot-classification
tags:
- roberta-base
datasets:
- multi_nli
- snli
metrics:
- accuracy
license: apache-2.0
---
# Cross-Encoder for Natural Language Inference
This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net/examples/appl... | 2,559 | [
[
-0.0158538818359375,
-0.056640625,
0.02178955078125,
0.0185546875,
0.0016841888427734375,
-0.00757598876953125,
-0.00975799560546875,
-0.0241546630859375,
0.0131988525390625,
0.035186767578125,
-0.042083740234375,
-0.040130615234375,
-0.04193115234375,
0.016... |
foduucom/stockmarket-pattern-detection-yolov8 | 2023-09-11T10:13:51.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"object-detection",
"pytorch",
"finance",
"stock market",
"candlesticks",
"pattern recognition",
"option trading",
"chart reader",
"en",
"model-index",
"has_space",
"region:us"
] | object-detection | foduucom | null | null | foduucom/stockmarket-pattern-detection-yolov8 | 38 | 12,639 | ultralytics | 2023-08-10T14:13:24 | ---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- object-detection
- pytorch
- finance
- stock market
- candlesticks
- pattern recognition
- option trading
- chart reader
library_name: ultralytics
library_version: 8.0.43
inference: false
model-index:
- name: foduucom/stockmarket-pattern-detection-yo... | 7,249 | [
[
0.0021648406982421875,
-0.062744140625,
-0.0008592605590820312,
-0.02264404296875,
-0.049774169921875,
-0.01392364501953125,
0.0169677734375,
-0.0421142578125,
0.01456451416015625,
0.0310821533203125,
-0.034576416015625,
-0.053924560546875,
-0.032745361328125,
... |
KoboldAI/OPT-2.7B-Erebus | 2022-09-19T07:38:12.000Z | [
"transformers",
"pytorch",
"opt",
"text-generation",
"en",
"arxiv:2205.01068",
"license:other",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | KoboldAI | null | null | KoboldAI/OPT-2.7B-Erebus | 32 | 12,636 | transformers | 2022-09-19T06:41:21 | ---
language: en
license: other
commercial: no
inference: false
---
# OPT 2.7B - Erebus
## Model description
This is the second generation of the original Shinen made by Mr. Seeker. The full dataset consists of 6 different sources, all surrounding the "Adult" theme. The name "Erebus" comes from the greek mythology, als... | 2,398 | [
[
-0.0267486572265625,
-0.044586181640625,
0.0105743408203125,
0.01312255859375,
-0.0205078125,
-0.03082275390625,
-0.02655029296875,
-0.0325927734375,
0.02203369140625,
0.055755615234375,
-0.058074951171875,
-0.027435302734375,
-0.0290374755859375,
0.01678466... |
microsoft/trocr-small-printed | 2023-01-24T16:57:45.000Z | [
"transformers",
"pytorch",
"vision-encoder-decoder",
"trocr",
"image-to-text",
"arxiv:2109.10282",
"endpoints_compatible",
"has_space",
"region:us"
] | image-to-text | microsoft | null | null | microsoft/trocr-small-printed | 17 | 12,582 | transformers | 2022-03-02T23:29:05 | ---
tags:
- trocr
- image-to-text
widget:
- src: https://layoutlm.blob.core.windows.net/trocr/dataset/SROIE2019Task2Crop/train/X00016469612_1.jpg
example_title: Printed 1
- src: https://layoutlm.blob.core.windows.net/trocr/dataset/SROIE2019Task2Crop/train/X51005255805_7.jpg
example_title: Printed 2
- src: https://l... | 2,836 | [
[
-0.0175323486328125,
-0.021697998046875,
0.007419586181640625,
-0.041595458984375,
-0.033294677734375,
-0.00846099853515625,
-0.0006270408630371094,
-0.059173583984375,
0.002777099609375,
0.043243408203125,
-0.024169921875,
-0.023834228515625,
-0.03936767578125,... |
TheBloke/Llama-2-70B-Chat-AWQ | 2023-09-27T12:49:45.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-2",
"en",
"arxiv:2307.09288",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Llama-2-70B-Chat-AWQ | 6 | 12,548 | transformers | 2023-09-19T00:06:16 | ---
language:
- en
license: llama2
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
model_name: Llama 2 70B Chat
base_model: meta-llama/Llama-2-70b-chat-hf
inference: false
model_creator: Meta Llama 2
model_type: llama
pipeline_tag: text-generation
prompt_template: '[INST] <<SYS>>
You are a helpful, respectful an... | 20,829 | [
[
-0.037506103515625,
-0.06298828125,
0.0256500244140625,
0.0068206787109375,
-0.02313232421875,
-0.00391387939453125,
0.0092926025390625,
-0.038818359375,
0.0016031265258789062,
0.0215301513671875,
-0.052581787109375,
-0.036651611328125,
-0.0249786376953125,
... |
Uminosachi/realisticVisionV51_v51VAE-inpainting | 2023-08-01T02:05:37.000Z | [
"diffusers",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | Uminosachi | null | null | Uminosachi/realisticVisionV51_v51VAE-inpainting | 1 | 12,537 | diffusers | 2023-08-01T01:53:24 | ---
license: creativeml-openrail-m
---
This is an inpainting model, which has been converted from the [realisticVisionV51_v51VAE-inpainting](https://civitai.com/models/4201?modelVersionId=130090). | 196 | [
[
-0.019317626953125,
-0.01666259765625,
0.03387451171875,
0.01064300537109375,
-0.0355224609375,
0.0186920166015625,
0.032562255859375,
-0.038055419921875,
0.04498291015625,
0.0740966796875,
-0.0831298828125,
0.016815185546875,
-0.00656890869140625,
-0.025253... |
CAMeL-Lab/bert-base-arabic-camelbert-ca | 2021-09-14T14:27:12.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | CAMeL-Lab | null | null | CAMeL-Lab/bert-base-arabic-camelbert-ca | 8 | 12,530 | transformers | 2022-03-02T23:29:04 | ---
language:
- ar
license: apache-2.0
widget:
- text: "الهدف من الحياة هو [MASK] ."
---
# CAMeLBERT: A collection of pre-trained models for Arabic NLP tasks
## Model description
**CAMeLBERT** is a collection of BERT models pre-trained on Arabic texts with different sizes and variants.
We release pre-trained langu... | 10,412 | [
[
-0.02886962890625,
-0.046630859375,
-0.00592041015625,
0.02386474609375,
-0.031951904296875,
0.0110626220703125,
-0.01004791259765625,
-0.025970458984375,
0.036346435546875,
0.0242156982421875,
-0.040863037109375,
-0.05938720703125,
-0.0706787109375,
0.00799... |
pankajmathur/orca_mini_v3_7b | 2023-08-25T23:14:36.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:psmathur/orca_mini_v1_dataset",
"dataset:ehartford/dolphin",
"arxiv:2306.02707",
"license:other",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | pankajmathur | null | null | pankajmathur/orca_mini_v3_7b | 37 | 12,527 | transformers | 2023-08-07T03:23:51 | ---
language:
- en
library_name: transformers
license: other
datasets:
- psmathur/orca_mini_v1_dataset
- ehartford/dolphin
pipeline_tag: text-generation
---
# orca_mini_v3_7b
A LLama2-7b model trained on Orca Style datasets.
<br>
![orca-mini](https://huggingface.co/psmathur/orca_mini_v3_7b/resolve/main/orca_minis_s... | 4,620 | [
[
-0.016937255859375,
-0.07183837890625,
0.0165557861328125,
0.01184844970703125,
-0.020751953125,
-0.004581451416015625,
-0.0132598876953125,
-0.0523681640625,
0.0159912109375,
0.0167083740234375,
-0.038177490234375,
-0.04638671875,
-0.043121337890625,
-0.007... |
facebook/wav2vec2-lv-60-espeak-cv-ft | 2023-10-31T13:13:45.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"speech",
"audio",
"phoneme-recognition",
"multilingual",
"dataset:common_voice",
"arxiv:2109.11680",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | facebook | null | null | facebook/wav2vec2-lv-60-espeak-cv-ft | 7 | 12,497 | transformers | 2022-03-02T23:29:05 | ---
language: multilingual
datasets:
- common_voice
tags:
- speech
- audio
- automatic-speech-recognition
- phoneme-recognition
widget:
- example_title: Librispeech sample 1
src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
- example_title: Librispeech sample 2
src: https://cdn-media.huggingface.co/... | 3,000 | [
[
-0.0113067626953125,
-0.040679931640625,
0.0140838623046875,
0.01934814453125,
-0.01216888427734375,
0.0009326934814453125,
-0.016998291015625,
-0.05084228515625,
0.00811004638671875,
0.0270233154296875,
-0.054443359375,
-0.04937744140625,
-0.04046630859375,
... |
TheBloke/zephyr-7B-alpha-GPTQ | 2023-10-14T07:12:11.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"generated_from_trainer",
"en",
"dataset:stingning/ultrachat",
"dataset:openbmb/UltraFeedback",
"arxiv:2305.18290",
"license:mit",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/zephyr-7B-alpha-GPTQ | 23 | 12,490 | transformers | 2023-10-11T03:26:23 | ---
base_model: HuggingFaceH4/zephyr-7b-alpha
datasets:
- stingning/ultrachat
- openbmb/UltraFeedback
inference: false
language:
- en
license: mit
model-index:
- name: zephyr-7b-alpha
results: []
model_creator: Hugging Face H4
model_name: Zephyr 7B Alpha
model_type: mistral
prompt_template: '<|system|>
</s>
<|u... | 27,747 | [
[
-0.033935546875,
-0.052825927734375,
0.00986480712890625,
0.01708984375,
-0.01122283935546875,
-0.0157012939453125,
0.005336761474609375,
-0.04296875,
0.0210113525390625,
0.02520751953125,
-0.04412841796875,
-0.03350830078125,
-0.02191162109375,
-0.005531311... |
openbmb/cpm-ant-10b | 2023-06-02T02:04:30.000Z | [
"transformers",
"pytorch",
"cpmant",
"text-generation",
"zh",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | openbmb | null | null | openbmb/cpm-ant-10b | 22 | 12,486 | transformers | 2023-01-15T14:28:26 | ---
tags:
- text-generation
language: zh
---
## Usage
```
pip install transformers
```
```python
from transformers import CpmAntTokenizer, CpmAntForCausalLM
texts = "今天天气不错，"
model = CpmAntForCausalLM.from_pretrained("openbmb/cpm-ant-10b")
tokenizer = CpmAntTokenizer.from_pretrained("openbmb/cpm-ant-10b")
input_ids... | 471 | [
[
-0.0292510986328125,
-0.019989013671875,
0.0045013427734375,
0.031829833984375,
-0.044708251953125,
-0.0096588134765625,
-0.00307464599609375,
0.0173492431640625,
0.00004416704177856445,
0.032470703125,
-0.050445556640625,
-0.033843994140625,
-0.0731201171875,
... |
timm/wide_resnet50_2.racm_in1k | 2023-04-05T20:39:51.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2110.00476",
"arxiv:1605.07146",
"arxiv:1512.03385",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/wide_resnet50_2.racm_in1k | 1 | 12,478 | timm | 2023-04-05T20:38:52 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for wide_resnet50_2.racm_in1k
A Wide-ResNet-B image classification model.
This model features:
* ReLU activations
* single layer 7x7 convolution with pooling
* 1x1 convolution shortcut downsample
Trained on ImageNet-1k ... | 39,246 | [
[
-0.065673828125,
-0.0193939208984375,
0.0037364959716796875,
0.0272064208984375,
-0.031402587890625,
-0.01189422607421875,
-0.01168060302734375,
-0.0308837890625,
0.083251953125,
0.0225677490234375,
-0.048797607421875,
-0.04315185546875,
-0.048736572265625,
... |
databricks/dolly-v2-12b | 2023-06-30T18:33:03.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"en",
"dataset:databricks/databricks-dolly-15k",
"license:mit",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | databricks | null | null | databricks/dolly-v2-12b | 1,886 | 12,478 | transformers | 2023-04-11T16:10:54 | ---
license: mit
language:
- en
library_name: transformers
inference: false
datasets:
- databricks/databricks-dolly-15k
---
# dolly-v2-12b Model Card
## Summary
Databricks' `dolly-v2-12b`, an instruction-following large language model trained on the Databricks machine learning platform
that is licensed for commercial... | 10,746 | [
[
-0.0020427703857421875,
-0.076416015625,
0.01125335693359375,
0.0271759033203125,
-0.00945281982421875,
-0.004665374755859375,
-0.0008902549743652344,
-0.00429534912109375,
0.0044097900390625,
0.033782958984375,
-0.04071044921875,
-0.037261962890625,
-0.05163574... |
timm/tf_efficientnet_lite0.in1k | 2023-04-27T21:38:11.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_lite0.in1k | 0 | 12,460 | timm | 2022-12-13T00:13:28 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_lite0.in1k
A EfficientNet-Lite image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model ... | 4,087 | [
[
-0.0269317626953125,
-0.03961181640625,
-0.003078460693359375,
0.00653076171875,
-0.0205841064453125,
-0.033416748046875,
-0.0259552001953125,
-0.0261077880859375,
0.01528167724609375,
0.0265045166015625,
-0.0264892578125,
-0.0484619140625,
-0.05426025390625,
... |
Helsinki-NLP/opus-mt-tl-en | 2023-08-16T12:06:52.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tl",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-tl-en | 0 | 12,446 | transformers | 2022-03-02T23:29:04 | ---
language:
- tl
- en
tags:
- translation
license: apache-2.0
---
### tgl-eng
* source group: Tagalog
* target group: English
* OPUS readme: [tgl-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tgl-eng/README.md)
* model: transformer-align
* source language(s): tgl_Latn
* target la... | 2,067 | [
[
-0.0189056396484375,
-0.042388916015625,
0.0209197998046875,
0.033477783203125,
-0.0338134765625,
-0.0019159317016601562,
-0.02752685546875,
-0.03216552734375,
0.017608642578125,
0.01525115966796875,
-0.04205322265625,
-0.0638427734375,
-0.0389404296875,
0.0... |
zarakiquemparte/zarafusionex-1.2-l2-7b | 2023-08-29T02:33:29.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama2",
"license:other",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | zarakiquemparte | null | null | zarakiquemparte/zarafusionex-1.2-l2-7b | 2 | 12,438 | transformers | 2023-08-29T00:35:40 | ---
license: other
tags:
- llama2
---
# Model Card: Zarafusionex 1.2 L2 7b
This model uses [Nous Hermes Llama2 7b](https://huggingface.co/NousResearch/Nous-Hermes-llama-2-7b) (53%) as a base with [Stable Beluga 7b](https://huggingface.co/stabilityai/StableBeluga-7B) (47%) and the result of this merge was merged with [L... | 1,711 | [
[
-0.03173828125,
-0.04022216796875,
0.0252532958984375,
0.030303955078125,
-0.039031982421875,
-0.0226287841796875,
0.019287109375,
-0.0517578125,
0.0308074951171875,
0.0694580078125,
-0.0677490234375,
-0.031890869140625,
-0.03704833984375,
-0.010948181152343... |
artificialguybr/analogredmond-v2 | 2023-10-07T06:26:23.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | artificialguybr | null | null | artificialguybr/analogredmond-v2 | 6 | 12,433 | diffusers | 2023-10-07T06:22:44 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: AnalogRedmAF, Analog
widget:
- text: AnalogRedmAF, Analog
---
# Analog.Redmond V2
Analog.Redmond V2 is here!
TEST ALL MY ... | 1,316 | [
[
-0.057159423828125,
-0.06549072265625,
0.0250091552734375,
0.00911712646484375,
-0.040802001953125,
0.0024318695068359375,
0.0275726318359375,
-0.0635986328125,
0.08306884765625,
0.0196990966796875,
-0.05364990234375,
-0.0254058837890625,
-0.0149993896484375,
... |
migtissera/SynthIA-7B-v1.3 | 2023-10-14T01:33:58.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"en",
"arxiv:2306.02707",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | migtissera | null | null | migtissera/SynthIA-7B-v1.3 | 122 | 12,400 | transformers | 2023-09-28T20:41:10 | ---
license: apache-2.0
pipeline_tag: text-generation
language:
- en
library_name: transformers
---
SynthIA-7B-v1.3: Base model is Mistral-7B-v0.1
All SynthIA models are uncensored. Please use it with caution and with best intentions. You are responsible for how you use SynthIA.
To evoke generalized Tree of Thought ... | 4,991 | [
[
-0.0253448486328125,
-0.0751953125,
0.032012939453125,
0.016082763671875,
-0.023345947265625,
0.004543304443359375,
-0.01454925537109375,
-0.04144287109375,
0.00705718994140625,
0.020416259765625,
-0.053009033203125,
-0.04730224609375,
-0.02471923828125,
0.0... |
facebook/blenderbot_small-90M | 2023-01-24T16:29:13.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"blenderbot-small",
"text2text-generation",
"convAI",
"conversational",
"facebook",
"en",
"dataset:blended_skill_talk",
"arxiv:1907.06616",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | conversational | facebook | null | null | facebook/blenderbot_small-90M | 40 | 12,303 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
thumbnail:
tags:
- convAI
- conversational
- facebook
license: apache-2.0
datasets:
- blended_skill_talk
metrics:
- perplexity
---
## Model description
+ Paper: [Recipes for building an open-domain chatbot](https://arxiv.org/abs/1907.06616)
+ [Original PARLAI Code](https://parl.ai/projects/recipes... | 1,451 | [
[
-0.0259857177734375,
-0.06011962890625,
0.025848388671875,
0.0245361328125,
0.0245208740234375,
-0.006664276123046875,
-0.032135009765625,
-0.015869140625,
-0.0006780624389648438,
0.050262451171875,
-0.0207061767578125,
-0.0195465087890625,
-0.057037353515625,
... |
timm/efficientnet_b2.ra_in1k | 2023-04-27T21:10:10.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:1905.11946",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/efficientnet_b2.ra_in1k | 0 | 12,269 | timm | 2022-12-12T23:56:20 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientnet_b2.ra_in1k
A EfficientNet image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA` recipe. Inspired by... | 4,731 | [
[
-0.0281982421875,
-0.037200927734375,
-0.00905609130859375,
0.00501251220703125,
-0.0148773193359375,
-0.034149169921875,
-0.0237274169921875,
-0.0300750732421875,
0.020172119140625,
0.032196044921875,
-0.032989501953125,
-0.040679931640625,
-0.056396484375,
... |
shibing624/macbert4csc-base-chinese | 2023-10-09T03:23:54.000Z | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"bert",
"fill-mask",
"zh",
"arxiv:2004.13922",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | shibing624 | null | null | shibing624/macbert4csc-base-chinese | 62 | 12,263 | transformers | 2022-03-02T23:29:05 | ---
language:
- zh
tags:
- bert
- pytorch
- zh
license: "apache-2.0"
---
# MacBERT for Chinese Spelling Correction(macbert4csc) Model
中文拼写纠错模型
`macbert4csc-base-chinese` evaluate SIGHAN2015 test data：
- Char Level: precision:0.9372, recall:0.8640, f1:0.8991
- Sentence Level: precision:0.8264, recall:0.7366, f1:... | 5,397 | [
[
-0.0128631591796875,
-0.04736328125,
0.0020236968994140625,
0.0257415771484375,
-0.0179595947265625,
-0.01116943359375,
-0.0270538330078125,
-0.0245361328125,
0.026519775390625,
0.026031494140625,
-0.04010009765625,
-0.055816650390625,
-0.04119873046875,
0.0... |
ai-forever/ruBert-base | 2023-11-03T12:50:38.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"PyTorch",
"Transformers",
"exbert",
"ru",
"arxiv:2309.10931",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | ai-forever | null | null | ai-forever/ruBert-base | 13 | 12,259 | transformers | 2022-03-02T23:29:05 | ---
language:
- ru
tags:
- PyTorch
- Transformers
- bert
- exbert
pipeline_tag: fill-mask
thumbnail: "https://github.com/sberbank-ai/model-zoo"
license: apache-2.0
---
# ruBert-base
The model architecture design, pretraining, and evaluation are documented in our preprint: [**A Family of Pretrained Transformer Language... | 1,190 | [
[
-0.0298309326171875,
-0.01132965087890625,
0.01007080078125,
0.01296234130859375,
-0.029632568359375,
0.00011867284774780273,
-0.0283355712890625,
-0.0118255615234375,
-0.0084686279296875,
0.0273284912109375,
-0.040252685546875,
-0.0245361328125,
-0.048522949218... |
Meina/Unreal_V4.1 | 2023-07-16T20:02:45.000Z | [
"diffusers",
"art",
"anime",
"meina",
"unreal",
"semirealistic",
"2.5d",
"sexy",
"fantasy",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Meina | null | null | Meina/Unreal_V4.1 | 4 | 12,252 | diffusers | 2023-07-16T19:59:21 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- art
- anime
- meina
- unreal
- semirealistic
- 2.5d
- sexy
- fantasy
---
MeinaUnreal objetive is to be able to do anime art with a 2.5d feeling.
( the VAE is already baked in the model )
For examples and promp... | 1,470 | [
[
-0.046661376953125,
-0.046173095703125,
0.04534912109375,
0.0239410400390625,
-0.02923583984375,
-0.0268707275390625,
0.01496124267578125,
-0.0440673828125,
0.043426513671875,
0.045928955078125,
-0.050537109375,
-0.04083251953125,
-0.026885986328125,
-0.0108... |
cointegrated/rubert-tiny | 2023-03-17T10:21:51.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"pretraining",
"russian",
"fill-mask",
"embeddings",
"masked-lm",
"tiny",
"feature-extraction",
"sentence-similarity",
"ru",
"en",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | cointegrated | null | null | cointegrated/rubert-tiny | 23 | 12,250 | transformers | 2022-03-02T23:29:05 | ---
language:
- ru
- en
tags:
- russian
- fill-mask
- pretraining
- embeddings
- masked-lm
- tiny
- feature-extraction
- sentence-similarity
license: mit
widget:
- text: Миниатюрная модель для [MASK] разных задач.
pipeline_tag: fill-mask
---
This is a very small distilled version of the [bert-base-multilingual-cased](h... | 2,411 | [
[
-0.0185394287109375,
-0.053131103515625,
0.024749755859375,
0.0282745361328125,
-0.031982421875,
-0.00519561767578125,
-0.03253173828125,
0.00540924072265625,
0.02593994140625,
0.02886962890625,
-0.0313720703125,
-0.034393310546875,
-0.042572021484375,
-0.00... |
DTAI-KULeuven/robbertje-1-gb-bort | 2022-02-24T09:57:08.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"Dutch",
"Flemish",
"RoBERTa",
"RobBERT",
"RobBERTje",
"nl",
"dataset:oscar",
"dataset:oscar (NL)",
"dataset:dbrd",
"dataset:lassy-ud",
"dataset:europarl-mono",
"dataset:conll2002",
"arxiv:2101.05716",
"license:mit",
"autotrain_c... | fill-mask | DTAI-KULeuven | null | null | DTAI-KULeuven/robbertje-1-gb-bort | 0 | 12,244 | transformers | 2022-03-02T23:29:04 | ---
language: "nl"
thumbnail: "https://github.com/iPieter/RobBERT/raw/master/res/robbert_logo.png"
tags:
- Dutch
- Flemish
- RoBERTa
- RobBERT
- RobBERTje
license: mit
datasets:
- oscar
- oscar (NL)
- dbrd
- lassy-ud
- europarl-mono
- conll2002
widget:
- text: "Hallo, ik ben RobBERTje, een gedistilleerd <mask> taalmode... | 3,942 | [
[
-0.031829833984375,
-0.032989501953125,
0.0269927978515625,
0.0158233642578125,
-0.0261993408203125,
-0.0158538818359375,
0.0003540515899658203,
-0.042083740234375,
0.031158447265625,
0.00473785400390625,
-0.0290069580078125,
-0.021881103515625,
-0.0748901367187... |
ku-nlp/deberta-v2-base-japanese-char-wwm | 2023-03-26T03:32:27.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta-v2",
"fill-mask",
"deberta",
"character",
"wwm",
"ja",
"dataset:wikipedia",
"dataset:cc100",
"dataset:oscar",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | ku-nlp | null | null | ku-nlp/deberta-v2-base-japanese-char-wwm | 0 | 12,239 | transformers | 2023-01-18T13:55:30 | ---
language: ja
license: cc-by-sa-4.0
library_name: transformers
tags:
- deberta
- deberta-v2
- fill-mask
- character
- wwm
datasets:
- wikipedia
- cc100
- oscar
metrics:
- accuracy
mask_token: "[MASK]"
widget:
- text: "京都大学で自然言語処理を[MASK][MASK]する。"
---
# Model Card for Japanese character-level D... | 3,223 | [
[
-0.035980224609375,
-0.060455322265625,
0.0165252685546875,
0.007579803466796875,
-0.041595458984375,
0.006916046142578125,
-0.0111083984375,
-0.0311279296875,
0.032501220703125,
0.039642333984375,
-0.047149658203125,
-0.04254150390625,
-0.058258056640625,
0... |
EleutherAI/pythia-2.8b-deduped | 2023-07-09T16:06:37.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"causal-lm",
"pythia",
"en",
"dataset:EleutherAI/the_pile_deduplicated",
"arxiv:2304.01373",
"arxiv:2101.00027",
"arxiv:2201.07311",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-infe... | text-generation | EleutherAI | null | null | EleutherAI/pythia-2.8b-deduped | 12 | 12,222 | transformers | 2023-02-10T22:26:20 | ---
language:
- en
tags:
- pytorch
- causal-lm
- pythia
license: apache-2.0
datasets:
- EleutherAI/the_pile_deduplicated
---
The *Pythia Scaling Suite* is a collection of models developed to facilitate
interpretability research [(see paper)](https://arxiv.org/pdf/2304.01373.pdf).
It contains two sets of eight models... | 13,663 | [
[
-0.02362060546875,
-0.059844970703125,
0.024627685546875,
0.004283905029296875,
-0.01861572265625,
-0.0148468017578125,
-0.017181396484375,
-0.034637451171875,
0.01369476318359375,
0.01259613037109375,
-0.026275634765625,
-0.020416259765625,
-0.0330810546875,
... |
samrawal/bert-base-uncased_clinical-ner | 2022-11-11T22:57:56.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"token-classification",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | samrawal | null | null | samrawal/bert-base-uncased_clinical-ner | 23 | 12,201 | transformers | 2022-03-02T23:29:05 | A Named Entity Recognition model for clinical entities (`problem`, `treatment`, `test`)
The model has been trained on the [i2b2 (now n2c2) dataset](https://n2c2.dbmi.hms.harvard.edu) for the 2010 - Relations task. Please visit the n2c2 site to request access to the dataset. | 275 | [
[
-0.00838470458984375,
-0.025970458984375,
0.04437255859375,
0.01206207275390625,
-0.0014009475708007812,
-0.00968170166015625,
0.01305389404296875,
-0.04742431640625,
0.0276336669921875,
0.058319091796875,
-0.057373046875,
-0.02520751953125,
-0.05279541015625,
... |
Yntec/humu | 2023-11-01T00:05:29.000Z | [
"diffusers",
"Photorealistic",
"Sexy",
"Female",
"weed",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/humu | 1 | 12,201 | diffusers | 2023-09-04T22:55:49 | ---
language:
- en
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Photorealistic
- Sexy
- Female
- weed
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# humu
This model with the MoistV2VAE baked in.
Preview and prompt:
![Sample](https://cdn... | 774 | [
[
-0.003032684326171875,
-0.051788330078125,
0.0202789306640625,
0.0163421630859375,
-0.016021728515625,
-0.0189208984375,
0.0400390625,
-0.01172637939453125,
0.0390625,
0.048431396484375,
-0.0506591796875,
-0.02606201171875,
-0.0280914306640625,
-0.0207214355... |
google/byt5-base | 2023-01-24T16:36:53.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"multilingual",
"af",
"am",
"ar",
"az",
"be",
"bg",
"bn",
"ca",
"ceb",
"co",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fil",
"fr",
"fy",
"ga",
"gd",
... | text2text-generation | google | null | null | google/byt5-base | 17 | 12,196 | transformers | 2022-03-02T23:29:05 | ---
language:
- multilingual
- af
- am
- ar
- az
- be
- bg
- bn
- ca
- ceb
- co
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fil
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- haw
- hi
- hmn
- ht
- hu
- hy
- ig
- is
- it
- iw
- ja
- jv
- ka
- kk
- km
- kn
- ko
- ku
- ky
- la
- lb
- lo
- lt
- lv
- mg
- mi
- mk
-... | 4,221 | [
[
-0.0164947509765625,
-0.02130126953125,
0.017303466796875,
0.01361083984375,
-0.027679443359375,
0.0016231536865234375,
-0.0187225341796875,
-0.042694091796875,
-0.0030803680419921875,
0.0252838134765625,
-0.04217529296875,
-0.039825439453125,
-0.057373046875,
... |
EleutherAI/pythia-1b-deduped | 2023-07-10T15:04:31.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"causal-lm",
"pythia",
"en",
"dataset:EleutherAI/the_pile_deduplicated",
"arxiv:2304.01373",
"arxiv:2101.00027",
"arxiv:2201.07311",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-infe... | text-generation | EleutherAI | null | null | EleutherAI/pythia-1b-deduped | 14 | 12,183 | transformers | 2023-02-14T00:07:42 | ---
language:
- en
tags:
- pytorch
- causal-lm
- pythia
license: apache-2.0
datasets:
- EleutherAI/the_pile_deduplicated
---
The *Pythia Scaling Suite* is a collection of models developed to facilitate
interpretability research [(see paper)](https://arxiv.org/pdf/2304.01373.pdf).
It contains two sets of eight models... | 13,644 | [
[
-0.0236358642578125,
-0.062286376953125,
0.02374267578125,
0.0050201416015625,
-0.0181427001953125,
-0.01471710205078125,
-0.0158843994140625,
-0.03375244140625,
0.01409912109375,
0.01163482666015625,
-0.0268707275390625,
-0.020050048828125,
-0.033966064453125,
... |
sb3/dqn-MountainCar-v0 | 2022-10-11T15:06:51.000Z | [
"stable-baselines3",
"MountainCar-v0",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | sb3 | null | null | sb3/dqn-MountainCar-v0 | 1 | 12,133 | stable-baselines3 | 2022-05-19T23:08:31 | ---
library_name: stable-baselines3
tags:
- MountainCar-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- metrics:
- type: mean_reward
value: -103.40 +/- 7.49
name: mean_reward
task:
type: reinforcement-learning
name: re... | 2,073 | [
[
-0.03875732421875,
-0.034912109375,
0.01050567626953125,
0.018218994140625,
-0.025421142578125,
-0.01413726806640625,
0.004398345947265625,
-0.01739501953125,
-0.0014467239379882812,
0.03192138671875,
-0.06842041015625,
-0.038482666015625,
-0.0247802734375,
... |
PygmalionAI/pygmalion-2-13b | 2023-09-15T20:29:04.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"text generation",
"instruct",
"en",
"dataset:PygmalionAI/PIPPA",
"dataset:Open-Orca/OpenOrca",
"dataset:Norquinal/claude_multiround_chat_30k",
"dataset:jondurbin/airoboros-gpt4-1.4.1",
"dataset:databricks/databricks-dolly... | text-generation | PygmalionAI | null | null | PygmalionAI/pygmalion-2-13b | 36 | 12,127 | transformers | 2023-09-04T22:05:31 | ---
language:
- en
thumbnail: null
tags:
- text generation
- instruct
pipeline_tag: text-generation
inference: false
license: llama2
datasets:
- PygmalionAI/PIPPA
- Open-Orca/OpenOrca
- Norquinal/claude_multiround_chat_30k
- jondurbin/airoboros-gpt4-1.4.1
- databricks/databricks-dolly-15k
---
<h1 style="text-align: cen... | 3,314 | [
[
-0.01605224609375,
-0.061767578125,
0.0169219970703125,
0.035003662109375,
-0.0235748291015625,
-0.01027679443359375,
-0.0250701904296875,
-0.04278564453125,
0.00919342041015625,
0.02008056640625,
-0.061981201171875,
-0.0225830078125,
-0.03643798828125,
0.01... |
Helsinki-NLP/opus-mt-ca-en | 2023-08-16T11:26:39.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ca",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-ca-en | 0 | 12,110 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ca-en
* source languages: ca
* target languages: en
* OPUS readme: [ca-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ca-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 818 | [
[
-0.01543426513671875,
-0.0330810546875,
0.020111083984375,
0.03619384765625,
-0.03076171875,
-0.0261383056640625,
-0.03155517578125,
-0.00411224365234375,
0.006786346435546875,
0.034942626953125,
-0.050689697265625,
-0.046295166015625,
-0.0440673828125,
0.01... |
haoranxu/ALMA-13B-Pretrain | 2023-10-27T05:10:01.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2309.11674",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | haoranxu | null | null | haoranxu/ALMA-13B-Pretrain | 4 | 12,109 | transformers | 2023-09-17T17:43:22 | ---
license: mit
---
**ALMA** (**A**dvanced **L**anguage **M**odel-based tr**A**nslator) is an LLM-based translation model, which adopts a new translation model paradigm: it begins with fine-tuning on monolingual data and is further optimized using high-quality parallel data. This two-step fine-tuning process ensures s... | 3,637 | [
[
-0.020599365234375,
-0.036468505859375,
0.01340484619140625,
0.029266357421875,
-0.037506103515625,
-0.00421905517578125,
-0.008209228515625,
-0.038421630859375,
0.0225067138671875,
0.03399658203125,
-0.04541015625,
-0.0584716796875,
-0.05133056640625,
0.011... |
hyunseoki/ko-en-llama2-13b | 2023-10-03T18:49:04.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ko",
"endpoints_compatible",
"text-generation-inference",
"region:us",
"has_space"
] | text-generation | hyunseoki | null | null | hyunseoki/ko-en-llama2-13b | 24 | 12,090 | transformers | 2023-10-02T13:05:10 | ---
language:
- ko
library_name: transformers
pipeline_tag: text-generation
---
**Model Developers** HyunseokLee, TaeyoungKim - (kaist alinlab, omnious.ai)
**Input** Models input text only.
**Output** Models generate text only.
**Model Architecture**
ko-en-llama2-13b is an auto-regressive language model based on ... | 588 | [
[
-0.001483917236328125,
-0.06097412109375,
0.03521728515625,
0.039520263671875,
-0.01873779296875,
0.022186279296875,
-0.0032329559326171875,
-0.034393310546875,
0.0140838623046875,
0.047760009765625,
-0.040374755859375,
-0.032928466796875,
-0.043426513671875,
... |
lmsys/vicuna-13b-v1.1 | 2023-08-01T18:26:15.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2302.13971",
"arxiv:2306.05685",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | lmsys | null | null | lmsys/vicuna-13b-v1.1 | 96 | 12,073 | transformers | 2023-04-12T21:23:50 | ---
inference: false
---
**NOTE: New version available**
Please check out a newer version of the weights [here](https://github.com/lm-sys/FastChat/blob/main/docs/vicuna_weights_version.md).
<br>
# Vicuna Model Card
## Model Details
Vicuna is a chat assistant trained by fine-tuning LLaMA on user-shared conversati... | 2,110 | [
[
-0.0138702392578125,
-0.061981201171875,
0.026611328125,
0.0357666015625,
-0.040191650390625,
-0.01666259765625,
-0.017608642578125,
-0.04364013671875,
0.031402587890625,
0.0271148681640625,
-0.039703369140625,
-0.036834716796875,
-0.050048828125,
-0.0024604... |
Qwen/Qwen-7B | 2023-11-05T03:27:25.000Z | [
"transformers",
"safetensors",
"qwen",
"text-generation",
"custom_code",
"zh",
"en",
"arxiv:2309.16609",
"has_space",
"region:us"
] | text-generation | Qwen | null | null | Qwen/Qwen-7B | 288 | 12,017 | transformers | 2023-08-03T02:51:18 | ---
language:
- zh
- en
tags:
- qwen
pipeline_tag: text-generation
inference: false
---
# Qwen-7B
<p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/logo_qwen.jpg" width="400"/>
<p>
<br>
<p align="center">
🤗 <a href="https://huggingface.co/Qwen">Hugging Face</a>   | &nb... | 16,546 | [
[
-0.03521728515625,
-0.037933349609375,
0.005229949951171875,
0.01187896728515625,
-0.026275634765625,
-0.011962890625,
-0.01097869873046875,
-0.036376953125,
-0.0003094673156738281,
0.0207061767578125,
-0.03472900390625,
-0.04827880859375,
-0.032440185546875,
... |
timm/resnetv2_50.a1h_in1k | 2023-03-22T20:55:30.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:1603.05027",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resnetv2_50.a1h_in1k | 0 | 12,003 | timm | 2023-03-22T20:54:57 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for resnetv2_50.a1h_in1k
A ResNet-V2 (pre-activation ResNet) image classification model. Trained on ImageNet-1k by Ross Wightman in `timm` using ResNet strikes back (RSB) `A1` based recipe.
## Model... | 4,331 | [
[
-0.030975341796875,
-0.0247955322265625,
-0.005100250244140625,
-0.0024623870849609375,
-0.02166748046875,
-0.019989013671875,
-0.017059326171875,
-0.02313232421875,
0.022705078125,
0.04241943359375,
-0.038543701171875,
-0.0506591796875,
-0.05120849609375,
-... |
timm/vit_base_patch32_224.augreg_in21k_ft_in1k | 2023-05-06T00:03:27.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2106.10270",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_base_patch32_224.augreg_in21k_ft_in1k | 0 | 11,979 | timm | 2022-12-22T07:33:47 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for vit_base_patch32_224.augreg_in21k_ft_in1k
A Vision Transformer (ViT) image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k (with additional augmentation... | 3,903 | [
[
-0.0390625,
-0.0290069580078125,
-0.0034465789794921875,
0.007129669189453125,
-0.0295867919921875,
-0.0249176025390625,
-0.021148681640625,
-0.034454345703125,
0.01251220703125,
0.0235443115234375,
-0.04132080078125,
-0.037261962890625,
-0.048065185546875,
... |
ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa | 2021-12-22T08:52:47.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"id",
"dataset:indonlu",
"license:mit",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | ayameRushia | null | null | ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa | 4 | 11,978 | transformers | 2022-03-02T23:29:05 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- indonlu
metrics:
- accuracy
model-index:
- name: bert-base-indonesian-1.5G-finetuned-sentiment-analysis-smsa
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: indonlu
type: indonlu
args: s... | 2,303 | [
[
-0.042510986328125,
-0.05029296875,
-0.0005168914794921875,
0.02386474609375,
-0.03118896484375,
-0.025360107421875,
-0.017486572265625,
-0.01251220703125,
0.0240020751953125,
0.0278167724609375,
-0.052886962890625,
-0.048614501953125,
-0.0516357421875,
-0.0... |
microsoft/deberta-large | 2022-09-26T08:50:58.000Z | [
"transformers",
"pytorch",
"tf",
"deberta",
"deberta-v1",
"fill-mask",
"en",
"arxiv:2006.03654",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | microsoft | null | null | microsoft/deberta-large | 11 | 11,959 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- deberta-v1
- fill-mask
thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
license: mit
---
## DeBERTa: Decoding-enhanced BERT with Disentangled Attention
[DeBERTa](https://arxiv.org/abs/2006.03654) improves the BERT and RoBERTa models using disentangled attention and enhanced m... | 3,773 | [
[
-0.033721923828125,
-0.047271728515625,
0.0201416015625,
0.035888671875,
-0.01374053955078125,
0.01535797119140625,
-0.0003330707550048828,
-0.048675537109375,
0.0216217041015625,
0.01163482666015625,
-0.063232421875,
-0.0254364013671875,
-0.0689697265625,
-... |
cardiffnlp/twitter-roberta-base | 2023-02-07T15:33:34.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"roberta",
"fill-mask",
"arxiv:2010.12421",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | cardiffnlp | null | null | cardiffnlp/twitter-roberta-base | 16 | 11,929 | transformers | 2022-03-02T23:29:05 | # Twitter-roBERTa-base
This is a RoBERTa-base model trained on ~58M tweets on top of the original RoBERTa-base checkpoint, as described and evaluated in the [_TweetEval_ benchmark (Findings of EMNLP 2020)](https://arxiv.org/pdf/2010.12421.pdf).
To evaluate this and other LMs on Twitter-specific data, please refer to ... | 4,616 | [
[
-0.0162200927734375,
-0.049072265625,
0.0156402587890625,
0.0203704833984375,
-0.015869140625,
0.00768280029296875,
-0.0193939208984375,
-0.01120758056640625,
0.0301971435546875,
0.00897216796875,
-0.03265380859375,
-0.051666259765625,
-0.0601806640625,
0.00... |
jplu/tf-camembert-base | 2020-12-11T21:47:52.000Z | [
"transformers",
"tf",
"camembert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | jplu | null | null | jplu/tf-camembert-base | 0 | 11,917 | transformers | 2022-03-02T23:29:05 | # Tensorflow CamemBERT
In this repository you will find different versions of the CamemBERT model for Tensorflow.
## CamemBERT
[CamemBERT](https://camembert-model.fr/) is a state-of-the-art language model for French based on the RoBERTa architecture pretrained on the French subcorpus of the newly available multiling... | 1,222 | [
[
-0.0266265869140625,
-0.045867919921875,
0.0180511474609375,
0.0352783203125,
-0.0110015869140625,
0.00897979736328125,
0.001750946044921875,
-0.01458740234375,
0.01038360595703125,
0.03216552734375,
-0.0517578125,
-0.037200927734375,
-0.053619384765625,
-0.... |
ivanlau/language-detection-fine-tuned-on-xlm-roberta-base | 2021-12-17T10:33:13.000Z | [
"transformers",
"pytorch",
"tensorboard",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"dataset:common_language",
"license:mit",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | ivanlau | null | null | ivanlau/language-detection-fine-tuned-on-xlm-roberta-base | 7 | 11,906 | transformers | 2022-03-02T23:29:05 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- common_language
metrics:
- accuracy
model-index:
- name: language-detection-fine-tuned-on-xlm-roberta-base
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: common_language
type: common_language... | 1,748 | [
[
-0.03619384765625,
-0.056671142578125,
0.0226898193359375,
0.00872802734375,
-0.024383544921875,
-0.01412200927734375,
-0.045318603515625,
-0.0258941650390625,
0.00646209716796875,
0.04095458984375,
-0.03851318359375,
-0.061004638671875,
-0.060546875,
0.0037... |
gilf/french-camembert-postag-model | 2023-04-05T15:31:56.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"camembert",
"token-classification",
"fr",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | gilf | null | null | gilf/french-camembert-postag-model | 5 | 11,901 | transformers | 2022-03-02T23:29:05 | ---
language: fr
widget:
- text: "Face à un choc inédit, les mesures mises en place par le gouvernement ont permis une protection forte et efficace des ménages"
---
## About
The *french-camembert-postag-model* is a part of speech tagging model for French that was trained on the *free-french-treebank* dataset availab... | 4,936 | [
[
-0.035980224609375,
-0.04522705078125,
0.01276397705078125,
0.01248931884765625,
-0.0243377685546875,
0.0117034912109375,
-0.00439453125,
-0.005527496337890625,
0.046142578125,
0.030914306640625,
-0.0297088623046875,
-0.07684326171875,
-0.054534912109375,
0.... |
Helsinki-NLP/opus-mt-cy-en | 2023-08-16T11:27:19.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"cy",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-cy-en | 0 | 11,900 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-cy-en
* source languages: cy
* target languages: en
* OPUS readme: [cy-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cy-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 818 | [
[
-0.017303466796875,
-0.026702880859375,
0.020904541015625,
0.0279998779296875,
-0.037567138671875,
-0.0223541259765625,
-0.034759521484375,
-0.007762908935546875,
0.00637054443359375,
0.03851318359375,
-0.05938720703125,
-0.048004150390625,
-0.042266845703125,
... |
etalab-ia/dpr-question_encoder-fr_qa-camembert | 2021-06-16T10:10:09.000Z | [
"transformers",
"pytorch",
"camembert",
"feature-extraction",
"fr",
"dataset:piaf",
"dataset:FQuAD",
"dataset:SQuAD-FR",
"arxiv:2004.04906",
"arxiv:1911.03894",
"endpoints_compatible",
"region:us"
] | feature-extraction | etalab-ia | null | null | etalab-ia/dpr-question_encoder-fr_qa-camembert | 7 | 11,896 | transformers | 2022-03-02T23:29:05 | ---
language: fr
datasets:
- piaf
- FQuAD
- SQuAD-FR
---
# dpr-question_encoder-fr_qa-camembert
## Description
French [DPR model](https://arxiv.org/abs/2004.04906) using [CamemBERT](https://arxiv.org/abs/1911.03894) as base and then fine-tuned on a combo of three French Q&A
## Data
### French Q&A
We use a combinat... | 6,905 | [
[
-0.031036376953125,
-0.06915283203125,
0.02850341796875,
0.01493072509765625,
0.001132965087890625,
0.005245208740234375,
-0.0212554931640625,
-0.004589080810546875,
0.01061248779296875,
0.0181427001953125,
-0.049652099609375,
-0.045318603515625,
-0.038391113281... |
BAAI/bge-small-zh-v1.5 | 2023-10-12T03:35:59.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"feature-extraction",
"zh",
"arxiv:2310.07554",
"arxiv:2309.07597",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | BAAI | null | null | BAAI/bge-small-zh-v1.5 | 8 | 11,868 | transformers | 2023-09-12T05:22:29 | ---
license: mit
language:
- zh
---
<h1 align="center">FlagEmbedding</h1>
<h4 align="center">
<p>
<a href=#model-list>Model List</a> |
<a href=#frequently-asked-questions>FAQ</a> |
<a href=#usage>Usage</a> |
<a href="#evaluation">Evaluation</a> |
<a href="#train">Train<... | 27,165 | [
[
-0.036651611328125,
-0.06793212890625,
0.029296875,
0.0118865966796875,
-0.02716064453125,
-0.02056884765625,
-0.0237579345703125,
-0.0189666748046875,
0.0300445556640625,
0.0283966064453125,
-0.0260467529296875,
-0.06549072265625,
-0.036102294921875,
-0.004... |
defog/sqlcoder2 | 2023-10-13T16:43:20.000Z | [
"transformers",
"pytorch",
"gpt_bigcode",
"text-generation",
"code",
"en",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | defog | null | null | defog/sqlcoder2 | 65 | 11,862 | transformers | 2023-10-02T12:13:43 | ---
license: other
language:
- en
pipeline_tag: text-generation
tags:
- code
---
# Defog SQLCoder
Defog's SQLCoder is a state-of-the-art LLM for converting natural language questions to SQL queries.
[Interactive Demo](https://defog.ai/sqlcoder-demo/) | [🤗 HF Repo](https://huggingface.co/defog/sqlcoder2) | [♾️ Colab](... | 4,490 | [
[
-0.02740478515625,
-0.07757568359375,
0.0150299072265625,
-0.005458831787109375,
-0.0165252685546875,
-0.0199127197265625,
-0.0078582763671875,
-0.026214599609375,
0.0026264190673828125,
0.0333251953125,
-0.041839599609375,
-0.0391845703125,
-0.0284881591796875,... |
hegelty/KcBERT-Base-finetuned-hate | 2023-09-18T02:30:55.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"ko",
"license:bsd",
"endpoints_compatible",
"region:us"
] | text-classification | hegelty | null | null | hegelty/KcBERT-Base-finetuned-hate | 1 | 11,838 | transformers | 2023-09-07T04:23:36 | ---
license: bsd
language:
- ko
library_name: transformers
---
# 혐오표현 분류
tag 0: 혐오
tag 1: 일반
# 소스코드
https://github.com/hegelty/hate-classifier
# 데이터셋
https://github.com/smilegate-ai/korean_unsmile_dataset
| 207 | [
[
-0.0233612060546875,
-0.0024261474609375,
0.0113983154296875,
0.02008056640625,
-0.0205841064453125,
0.0188446044921875,
0.01203155517578125,
-0.0009045600891113281,
0.0312042236328125,
0.0079193115234375,
-0.025787353515625,
-0.0697021484375,
-0.040618896484375... |
OpenBuddy/openbuddy-llama2-13b-v11.1-bf16 | 2023-09-01T16:15:41.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"ru",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | OpenBuddy | null | null | OpenBuddy/openbuddy-llama2-13b-v11.1-bf16 | 17 | 11,810 | transformers | 2023-08-24T08:17:42 | ---
language:
- zh
- en
- fr
- de
- ja
- ko
- it
- ru
pipeline_tag: text-generation
inference: false
library_name: transformers
---
# OpenBuddy - Open Multilingual Chatbot
GitHub and Usage Guide: [https://github.com/OpenBuddy/OpenBuddy](https://github.com/OpenBuddy/OpenBuddy)
Website and Demo: [https://openbuddy.ai... | 2,636 | [
[
-0.0264892578125,
-0.0709228515625,
0.0171051025390625,
0.036163330078125,
-0.0265045166015625,
-0.005359649658203125,
-0.0138702392578125,
-0.03460693359375,
0.0175018310546875,
0.033050537109375,
-0.0257568359375,
-0.048095703125,
-0.035675048828125,
-0.00... |
timm/efficientnetv2_rw_s.ra2_in1k | 2023-04-27T21:13:07.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:2104.00298",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/efficientnetv2_rw_s.ra2_in1k | 0 | 11,782 | timm | 2022-12-12T23:58:49 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientnetv2_rw_s.ra2_in1k
A EfficientNet-v2 image classification model. This is a `timm` specific variation of the architecture. Trained on ImageNet-1k in `timm` using recipe template describe... | 4,773 | [
[
-0.02593994140625,
-0.032135009765625,
-0.00933074951171875,
0.002391815185546875,
-0.0206451416015625,
-0.033905029296875,
-0.01551055908203125,
-0.0307464599609375,
0.0184783935546875,
0.035247802734375,
-0.0309600830078125,
-0.038848876953125,
-0.055145263671... |
avichr/Legal-heBERT_ft | 2022-07-07T07:31:58.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"arxiv:1911.03090",
"arxiv:2010.02559",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | avichr | null | null | avichr/Legal-heBERT_ft | 2 | 11,757 | transformers | 2022-05-05T06:49:36 | # Legal-HeBERT
Legal-HeBERT is a BERT model for Hebrew legal and legislative domains. It is intended to improve the legal NLP research and tools development in Hebrew. We release two versions of Legal-HeBERT. The first version is a fine-tuned model of [HeBERT](https://github.com/avichaychriqui/HeBERT) applied on legal ... | 7,821 | [
[
-0.02752685546875,
-0.02911376953125,
0.023193359375,
0.01450347900390625,
-0.03729248046875,
-0.01374053955078125,
-0.00147247314453125,
-0.021820068359375,
0.0201873779296875,
0.034698486328125,
-0.0183563232421875,
-0.060882568359375,
-0.06500244140625,
-... |
facebook/data2vec-audio-base-100h | 2022-04-18T16:19:17.000Z | [
"transformers",
"pytorch",
"data2vec-audio",
"automatic-speech-recognition",
"speech",
"en",
"dataset:librispeech_asr",
"arxiv:2202.03555",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | facebook | null | null | facebook/data2vec-audio-base-100h | 1 | 11,739 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
license: apache-2.0
---
# Data2Vec-Audio-Base-100h
[Facebook's Data2Vec](https://ai.facebook.com/research/data2vec-a-general-framework-for-self-supervised-learning-in-speech-vision-and-language/)
The base model pretrained and fine-tuned on 100 hours of Lib... | 2,776 | [
[
-0.01296234130859375,
-0.05767822265625,
0.0105133056640625,
0.0147552490234375,
-0.00940704345703125,
-0.0207977294921875,
-0.0163726806640625,
-0.037109375,
-0.00362396240234375,
0.023834228515625,
-0.058349609375,
-0.04278564453125,
-0.033294677734375,
-0... |
laion/CLIP-convnext_xxlarge-laion2B-s34B-b82K-augreg-soup | 2023-04-18T17:45:00.000Z | [
"open_clip",
"zero-shot-image-classification",
"clip",
"arxiv:2210.08402",
"arxiv:1910.04867",
"license:mit",
"has_space",
"region:us"
] | zero-shot-image-classification | laion | null | null | laion/CLIP-convnext_xxlarge-laion2B-s34B-b82K-augreg-soup | 16 | 11,722 | open_clip | 2023-02-26T20:23:04 | ---
tags:
- zero-shot-image-classification
- clip
library_tag: open_clip
license: mit
library_name: open_clip
pipeline_tag: zero-shot-image-classification
---
# Model card for CLIP-convnext_xxlarge-laion2B-s34B-b82K-augreg-soup
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. [Training Deta... | 17,900 | [
[
-0.047332763671875,
-0.03839111328125,
-0.00357818603515625,
0.0035457611083984375,
-0.0278167724609375,
-0.022918701171875,
-0.0127410888671875,
-0.032745361328125,
0.027069091796875,
0.020111083984375,
-0.03558349609375,
-0.031402587890625,
-0.05230712890625,
... |
h2oai/h2ogpt-4096-llama2-13b-chat | 2023-08-24T18:35:40.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"llama-2",
"h2ogpt",
"en",
"license:llama2",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | h2oai | null | null | h2oai/h2ogpt-4096-llama2-13b-chat | 10 | 11,707 | transformers | 2023-08-09T17:19:03 | ---
inference: false
language:
- en
license: llama2
model_type: llama
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
- h2ogpt
---
h2oGPT clone of [Meta's Llama 2 13B Chat](https://huggingface.co/meta-llama/Llama-2-13b-chat-hf).
Try it live on our [h2oGPT demo](https://gpt.h2o.ai) wi... | 1,615 | [
[
-0.01971435546875,
-0.053924560546875,
0.0357666015625,
0.040130615234375,
-0.027435302734375,
0.021087646484375,
0.0021991729736328125,
-0.0377197265625,
0.0350341796875,
0.01678466796875,
-0.034332275390625,
-0.045440673828125,
-0.049835205078125,
-0.02128... |
Salesforce/codet5-small | 2021-11-23T09:45:34.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"codet5",
"dataset:code_search_net",
"arxiv:2109.00859",
"arxiv:1909.09436",
"license:apache-2.0",
"autotrain_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | Salesforce | null | null | Salesforce/codet5-small | 41 | 11,698 | transformers | 2022-03-02T23:29:04 | ---
license: apache-2.0
tags:
- codet5
datasets:
- code_search_net
inference: false
---
# CodeT5 (small-sized model)
Pre-trained CodeT5 model. It was introduced in the paper [CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models
for Code Understanding and Generation](https://arxiv.org/abs/2109.00859) b... | 3,924 | [
[
-0.02838134765625,
-0.02099609375,
0.0033321380615234375,
0.017608642578125,
-0.0183258056640625,
0.003406524658203125,
-0.0234832763671875,
-0.038177490234375,
-0.0081329345703125,
0.023223876953125,
-0.041473388671875,
-0.0396728515625,
-0.04095458984375,
... |
facebook/galactica-1.3b | 2023-01-24T17:20:39.000Z | [
"transformers",
"pytorch",
"opt",
"text-generation",
"galactica",
"arxiv:1810.03993",
"license:cc-by-nc-4.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | facebook | null | null | facebook/galactica-1.3b | 52 | 11,693 | transformers | 2022-11-16T13:37:55 | ---
license: cc-by-nc-4.0
tags:
- galactica
widget:
- text: "The Transformer architecture [START_REF]"
- text: "The Schwarzschild radius is defined as: \\["
- text: "A force of 0.6N is applied to an object, which accelerates at 3m/s. What is its mass? <work>"
- text: "Lecture 1: The Ising Model\n\n"
- text: "[START_I_... | 7,692 | [
[
-0.0271453857421875,
-0.058624267578125,
0.0257110595703125,
0.0157012939453125,
-0.00794219970703125,
0.0005259513854980469,
-0.0277862548828125,
-0.030181884765625,
0.03363037109375,
0.02630615234375,
-0.040283203125,
-0.0242462158203125,
-0.04608154296875,
... |
Salesforce/ctrl | 2023-07-11T14:45:34.000Z | [
"transformers",
"pytorch",
"tf",
"ctrl",
"text-generation",
"en",
"arxiv:1909.05858",
"arxiv:1910.09700",
"license:bsd-3-clause",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | Salesforce | null | null | Salesforce/ctrl | 5 | 11,686 | transformers | 2022-03-02T23:29:04 | ---
language: en
license: bsd-3-clause
pipeline_tag: text-generation
---
# ctrl
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. [Bias, Risks, and Limitations](#bias-risks-and-limitations)
4. [Training](#training)
5. [Evaluation](#evaluation)
6. [Environmental Impact](#environmental-impact... | 12,455 | [
[
-0.0200653076171875,
-0.070068359375,
0.01528167724609375,
0.00959014892578125,
-0.0159759521484375,
-0.015380859375,
-0.032257080078125,
-0.043670654296875,
-0.027252197265625,
0.055023193359375,
-0.03997802734375,
-0.045379638671875,
-0.037811279296875,
0.... |
ClueAI/PromptCLUE-base | 2023-04-02T08:57:29.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"zh",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | ClueAI | null | null | ClueAI/PromptCLUE-base | 67 | 11,677 | transformers | 2022-09-29T08:51:44 | ---
language:
- zh
license: creativeml-openrail-m
widget:
- text: "这是关于哪方面的新闻： \n如果日本沉没，中国会接收日本难民吗？\n选项：故事,文化,娱乐,体育,财经,房产,汽车,教育,科技,军事,旅游,国际,股票,农业,游戏\n答案:"
- text: "以下两句话是否表达相同意思：\n文本1：糖尿病腿麻木怎么办？\n文本2：糖尿病怎样控制生活方式\n选项：相似，不相似\n答案："
- text: "阅读以下对话并回答问题。\n男：今天怎么这么晚才来上班啊？女：昨天工作到很晚，而且我还感冒了。男：那你回去休息吧，我帮你请假。女：谢谢你。\n问题：女的怎么样... | 5,944 | [
[
-0.042083740234375,
-0.051605224609375,
0.0372314453125,
0.01715087890625,
-0.029388427734375,
-0.01348114013671875,
-0.0065765380859375,
-0.0136566162109375,
0.030059814453125,
0.01849365234375,
-0.039703369140625,
-0.0576171875,
-0.04376220703125,
0.012763... |
togethercomputer/RedPajama-INCITE-7B-Instruct | 2023-08-09T18:01:27.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"en",
"dataset:togethercomputer/RedPajama-Data-1T",
"dataset:togethercomputer/RedPajama-Data-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | togethercomputer | null | null | togethercomputer/RedPajama-INCITE-7B-Instruct | 103 | 11,663 | transformers | 2023-05-05T05:28:20 | ---
license: apache-2.0
language:
- en
datasets:
- togethercomputer/RedPajama-Data-1T
- togethercomputer/RedPajama-Data-Instruct
widget:
- text: |-
Label the sentences as either 'positive', 'negative', 'mixed', or 'neutral':
Sentence: I can say that there isn't anything I would change.
Label: positive
... | 11,788 | [
[
-0.0277252197265625,
-0.06707763671875,
0.019744873046875,
0.0284576416015625,
-0.007030487060546875,
-0.01528167724609375,
-0.032379150390625,
-0.0289459228515625,
-0.0010347366333007812,
0.0411376953125,
-0.038421630859375,
-0.036895751953125,
-0.057373046875,... |
sangrimlee/bert-base-multilingual-cased-nsmc | 2021-06-02T18:46:18.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"ko",
"endpoints_compatible",
"region:us"
] | text-classification | sangrimlee | null | null | sangrimlee/bert-base-multilingual-cased-nsmc | 4 | 11,656 | transformers | 2022-03-02T23:29:05 | ---
language: ko
---
# BERT multilingual basecased finetuned with NSMC
This model is a fine-tune checkpoint of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased), fine-tuned on [NSMC(Naver Sentiment Movie Corpus)](https://github.com/e9t/nsmc).
## Usage
You can use this model directl... | 724 | [
[
-0.03900146484375,
-0.0361328125,
0.00925445556640625,
0.03973388671875,
-0.0360107421875,
0.018035888671875,
-0.02276611328125,
0.0095367431640625,
0.03558349609375,
0.0377197265625,
-0.049560546875,
-0.05047607421875,
-0.044342041015625,
-0.011146545410156... |
mosaicml/mpt-30b-instruct | 2023-10-30T21:54:31.000Z | [
"transformers",
"pytorch",
"mpt",
"text-generation",
"Composer",
"MosaicML",
"llm-foundry",
"custom_code",
"dataset:competition_math",
"dataset:conceptofmind/cot_submix_original/cot_gsm8k",
"dataset:knkarthick/dialogsum",
"dataset:mosaicml/dolly_hhrlhf",
"dataset:duorc",
"dataset:tau/scrol... | text-generation | mosaicml | null | null | mosaicml/mpt-30b-instruct | 95 | 11,644 | transformers | 2023-06-21T17:12:11 | ---
license: cc-by-sa-3.0
datasets:
- competition_math
- conceptofmind/cot_submix_original/cot_gsm8k
- knkarthick/dialogsum
- mosaicml/dolly_hhrlhf
- duorc
- tau/scrolls/qasper
- emozilla/quality
- scrolls/summ_screen_fd
- spider
tags:
- Composer
- MosaicML
- llm-foundry
inference: false
---
# MPT-30B-Instruct
MPT-30... | 9,547 | [
[
-0.03179931640625,
-0.038238525390625,
0.0093994140625,
0.0209197998046875,
-0.02215576171875,
-0.0005450248718261719,
-0.00571441650390625,
-0.018646240234375,
0.006511688232421875,
0.0209503173828125,
-0.044464111328125,
-0.042449951171875,
-0.050201416015625,... |
togethercomputer/RedPajama-INCITE-7B-Chat | 2023-06-05T03:22:54.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"en",
"dataset:togethercomputer/RedPajama-Data-1T",
"dataset:OpenAssistant/oasst1",
"dataset:databricks/databricks-dolly-15k",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | togethercomputer | null | null | togethercomputer/RedPajama-INCITE-7B-Chat | 89 | 11,615 | transformers | 2023-05-04T20:24:59 | ---
license: apache-2.0
language:
- en
datasets:
- togethercomputer/RedPajama-Data-1T
- OpenAssistant/oasst1
- databricks/databricks-dolly-15k
widget:
- text: "<human>: Write an email to my friends inviting them to come to my home on Friday for a dinner party, bring their own food to share.\n<bot>:"
example_title: "E... | 8,001 | [
[
-0.034576416015625,
-0.07720947265625,
0.0180816650390625,
0.0220947265625,
0.0044708251953125,
-0.01129150390625,
-0.0165557861328125,
-0.03704833984375,
0.0274505615234375,
0.02142333984375,
-0.050140380859375,
-0.0293426513671875,
-0.0592041015625,
0.0021... |
matsuo-lab/weblab-10b-instruction-sft | 2023-09-04T23:16:23.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | matsuo-lab | null | null | matsuo-lab/weblab-10b-instruction-sft | 68 | 11,579 | transformers | 2023-08-04T05:01:56 | ---
license: cc-by-nc-4.0
---
# weblab-10b-instruction-sft
# Overview
This repository provides a Japanese-centric multilingual GPT-NeoX model of 10 billion parameters.
* **Library**
The model was trained using code based on [EleutherAI/gpt-neox](https://github.com/EleutherAI/gpt-neox).
* **Model architectu... | 4,421 | [
[
-0.037506103515625,
-0.062103271484375,
0.0238189697265625,
0.0015659332275390625,
-0.01457977294921875,
-0.00995635986328125,
-0.0122528076171875,
-0.0275115966796875,
-0.00792694091796875,
0.00859832763671875,
-0.046539306640625,
-0.054962158203125,
-0.0445251... |
cardiffnlp/twitter-roberta-base-sep2022 | 2022-10-14T15:36:18.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"timelms",
"twitter",
"en",
"dataset:twitter-api",
"arxiv:2202.03829",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | cardiffnlp | null | null | cardiffnlp/twitter-roberta-base-sep2022 | 6 | 11,576 | transformers | 2022-10-14T15:19:24 | ---
language: en
tags:
- timelms
- twitter
license: mit
datasets:
- twitter-api
---
# Twitter September 2022 (RoBERTa-base, 169M)
This is a RoBERTa-base model trained on 168.86M tweets until the end of September 2022 (15M tweets increment).
More details and performance scores are available in the [TimeLMs paper](http... | 4,759 | [
[
-0.018890380859375,
-0.040740966796875,
0.00962066650390625,
0.02325439453125,
-0.016021728515625,
0.006710052490234375,
-0.006748199462890625,
-0.005992889404296875,
0.0162811279296875,
-0.0000597834587097168,
-0.036651611328125,
-0.04443359375,
-0.056091308593... |
baichuan-inc/Baichuan2-7B-Base | 2023-10-13T02:00:57.000Z | [
"transformers",
"pytorch",
"baichuan",
"text-generation",
"custom_code",
"en",
"zh",
"license:other",
"has_space",
"region:us"
] | text-generation | baichuan-inc | null | null | baichuan-inc/Baichuan2-7B-Base | 47 | 11,574 | transformers | 2023-08-30T10:11:04 | ---
language:
- en
- zh
license: other
tasks:
- text-generation
---
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<div align="center">
<h1>
Baichuan 2
</h1>
</div>
<div align="center">
<a href="https://github.com/baichuan-inc/Baichuan2" target="_blank">🦉GitHub</a> | <a href="... | 12,939 | [
[
-0.0251617431640625,
-0.050628662109375,
0.00234222412109375,
0.029266357421875,
-0.0212554931640625,
-0.003986358642578125,
-0.0203094482421875,
-0.032379150390625,
0.01837158203125,
0.005828857421875,
-0.033111572265625,
-0.035125732421875,
-0.049560546875,
... |
Undi95/MLewd-ReMM-L2-Chat-20B | 2023-09-26T00:37:27.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"not-for-all-audiences",
"nsfw",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Undi95 | null | null | Undi95/MLewd-ReMM-L2-Chat-20B | 12 | 11,565 | transformers | 2023-09-17T22:40:27 | ---
license: cc-by-nc-4.0
tags:
- not-for-all-audiences
- nsfw
---
First :
```shell
layer_slices:
- model: Undi95/MLewd-L2-Chat-13B
start: 0
end: 16
- model: Undi95/MLewd-ReMM-L2-Chat-20B-Part1
start: 8
end: 20
- model: Undi95/MLewd-L2-Chat-13B
start: 17
end: 32
- model: Undi95/MLewd-Re... | 2,468 | [
[
-0.037078857421875,
-0.06353759765625,
0.036865234375,
0.024627685546875,
-0.021697998046875,
-0.0162353515625,
0.007701873779296875,
-0.005695343017578125,
0.0308074951171875,
0.05609130859375,
-0.06719970703125,
-0.05804443359375,
-0.04736328125,
-0.009765... |
databricks/dolly-v2-7b | 2023-06-30T18:33:41.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"en",
"dataset:databricks/databricks-dolly-15k",
"license:mit",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | databricks | null | null | databricks/dolly-v2-7b | 133 | 11,550 | transformers | 2023-04-13T05:19:39 | ---
license: mit
language:
- en
library_name: transformers
inference: false
datasets:
- databricks/databricks-dolly-15k
---
# dolly-v2-7b Model Card
## Summary
Databricks' `dolly-v2-7b`, an instruction-following large language model trained on the Databricks machine learning platform
that is licensed for commercial u... | 10,734 | [
[
-0.0018529891967773438,
-0.07598876953125,
0.01201629638671875,
0.025421142578125,
-0.011383056640625,
-0.004711151123046875,
0.0001995563507080078,
-0.0038585662841796875,
0.003936767578125,
0.035888671875,
-0.0380859375,
-0.03814697265625,
-0.05145263671875,
... |
slauw87/bart_summarisation | 2021-09-20T05:27:36.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"sagemaker",
"summarization",
"en",
"dataset:samsum",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | summarization | slauw87 | null | null | slauw87/bart_summarisation | 45 | 11,532 | transformers | 2022-03-02T23:29:05 |
---
language: en
tags:
- sagemaker
- bart
- summarization
license: apache-2.0
datasets:
- samsum
model-index:
- name: bart-large-cnn-samsum
results:
- task:
name: Abstractive Text Summarization
type: abstractive-text-summarization
dataset:
name: "SAMSum Corpus: A Human-annotated Dialogue Dat... | 3,068 | [
[
-0.04498291015625,
-0.05560302734375,
0.00751495361328125,
0.00783538818359375,
-0.0193023681640625,
-0.005611419677734375,
-0.0173797607421875,
-0.01323699951171875,
0.0280303955078125,
0.041229248046875,
-0.0716552734375,
-0.04046630859375,
-0.060089111328125,... |
yangheng/deberta-v3-base-absa-v1.1 | 2023-09-09T18:58:09.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta-v2",
"text-classification",
"aspect-based-sentiment-analysis",
"PyABSA",
"en",
"dataset:laptop14",
"dataset:restaurant14",
"dataset:restaurant16",
"dataset:ACL-Twitter",
"dataset:MAMS",
"dataset:Television",
"dataset:TShirt",
"dataset:... | text-classification | yangheng | null | null | yangheng/deberta-v3-base-absa-v1.1 | 23 | 11,522 | transformers | 2022-03-18T23:58:16 |
---
language:
- en
tags:
- aspect-based-sentiment-analysis
- PyABSA
license: mit
datasets:
- laptop14
- restaurant14
- restaurant16
- ACL-Twitter
- MAMS
- Television
- TShirt
- Yelp
metrics:
- accuracy
- macro-f1
widget:
- text: "[CLS] when tables opened up, the manager sat another party before us. [SEP] manager [... | 4,002 | [
[
-0.031005859375,
-0.053497314453125,
0.029266357421875,
0.034271240234375,
-0.029449462890625,
-0.01326751708984375,
-0.007183074951171875,
-0.0207061767578125,
0.022491455078125,
0.02239990234375,
-0.042266845703125,
-0.05810546875,
-0.021759033203125,
0.00... |
Austism/chronos-hermes-13b | 2023-07-01T16:13:40.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"chatbot",
"storywriting",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Austism | null | null | Austism/chronos-hermes-13b | 40 | 11,480 | transformers | 2023-06-13T02:36:03 | ---
license: other
tags:
- llama
- pytorch
- chatbot
- storywriting
---
([chronos-13b](https://huggingface.co/elinas/chronos-13b) + [Nous-Hermes-13b](https://huggingface.co/NousResearch/Nous-Hermes-13b)) 75/25 merge
This has the aspects of chronos's nature to produce long, descriptive outputs. But with additional cohe... | 742 | [
[
-0.047149658203125,
-0.032867431640625,
0.04925537109375,
0.0241241455078125,
-0.033172607421875,
0.0170135498046875,
-0.01812744140625,
-0.0648193359375,
0.058929443359375,
0.05035400390625,
-0.060638427734375,
-0.0225830078125,
-0.047271728515625,
0.022308... |
StudentLLM/Alpagasus-2-13b-QLoRA-merged | 2023-09-15T07:07:30.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"license:other",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | StudentLLM | null | null | StudentLLM/Alpagasus-2-13b-QLoRA-merged | 2 | 11,470 | transformers | 2023-09-02T04:38:10 | ---
license: other
language:
- en
---
## Model Details
This is an unofficial implementation of "[AlpaGasus: Training a better Alpaca with Fewer Data.](https://github.com/Lichang-Chen/AlpaGasus)" with [LLaMA2](https://huggingface.co/meta-llama/Llama-2-13b-hf) & QLoRA! Training code is available at our [repo](https://git... | 4,153 | [
[
-0.0335693359375,
-0.051239013671875,
0.019683837890625,
0.01537322998046875,
-0.03082275390625,
-0.01079559326171875,
-0.01458740234375,
-0.040924072265625,
0.01401519775390625,
0.01100921630859375,
-0.04925537109375,
-0.040863037109375,
-0.04095458984375,
... |
ai-forever/rugpt3small_based_on_gpt2 | 2023-11-03T12:50:19.000Z | [
"transformers",
"pytorch",
"jax",
"gpt2",
"text-generation",
"PyTorch",
"Transformers",
"ru",
"arxiv:2309.10931",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | ai-forever | null | null | ai-forever/rugpt3small_based_on_gpt2 | 22 | 11,466 | transformers | 2022-03-02T23:29:05 | ---
language:
- ru
tags:
- PyTorch
- Transformers
thumbnail: "https://github.com/sberbank-ai/ru-gpts"
---
# rugpt3small\_based\_on\_gpt2
The model architecture design, pretraining, and evaluation are documented in our preprint: [**A Family of Pretrained Transformer Language Models for Russian**](https://arxiv.org/abs/... | 1,200 | [
[
-0.024017333984375,
-0.032501220703125,
0.0245819091796875,
0.0181427001953125,
-0.035888671875,
-0.0167236328125,
-0.0264739990234375,
-0.0157012939453125,
-0.035980224609375,
0.006114959716796875,
-0.035552978515625,
-0.00959014892578125,
-0.045379638671875,
... |
KoboldAI/LLaMA2-13B-Tiefighter | 2023-10-19T16:55:50.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us",
"has_space"
] | text-generation | KoboldAI | null | null | KoboldAI/LLaMA2-13B-Tiefighter | 18 | 11,463 | transformers | 2023-10-18T18:22:59 | ---
license: llama2
---
# LLaMA2-13B-Tiefighter
Tiefighter is a merged model achieved trough merging two different lora's on top of a well established existing merge.
To achieve this the following recipe was used:
* We begin with the base model Undi95/Xwin-MLewd-13B-V0.2 which is a well established merged, contrary to... | 5,785 | [
[
-0.033782958984375,
-0.06402587890625,
0.0271148681640625,
0.01157379150390625,
-0.030548095703125,
0.0026569366455078125,
0.007160186767578125,
-0.06671142578125,
0.046295166015625,
0.05694580078125,
-0.054901123046875,
-0.017242431640625,
-0.036041259765625,
... |
garage-bAInd/Camel-Platypus2-70B | 2023-08-15T01:54:31.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:garage-bAInd/Open-Platypus",
"arxiv:2308.07317",
"arxiv:2307.09288",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | garage-bAInd | null | null | garage-bAInd/Camel-Platypus2-70B | 12 | 11,456 | transformers | 2023-08-09T21:24:32 | ---
language:
- en
datasets:
- garage-bAInd/Open-Platypus
license: cc-by-nc-4.0
---
# Camel-Platypus2-70B
Camel-Platypus2-70B is a merge of [`garage-bAInd/Platypus2-70B`](https://huggingface.co/garage-bAInd/Platypus2-70B) and [`augtoma/qCammel-70-x`](https://huggingface.co/augtoma/qCammel-70-x).
![Platty](./Best_Pla... | 5,082 | [
[
-0.027496337890625,
-0.05682373046875,
0.007389068603515625,
0.0273284912109375,
-0.02801513671875,
-0.005260467529296875,
-0.0250701904296875,
-0.045623779296875,
0.0018224716186523438,
0.021942138671875,
-0.035980224609375,
-0.0280914306640625,
-0.044982910156... |
microsoft/trocr-large-handwritten | 2023-01-24T16:57:33.000Z | [
"transformers",
"pytorch",
"vision-encoder-decoder",
"trocr",
"image-to-text",
"arxiv:2109.10282",
"endpoints_compatible",
"has_space",
"region:us"
] | image-to-text | microsoft | null | null | microsoft/trocr-large-handwritten | 39 | 11,443 | transformers | 2022-03-02T23:29:05 | ---
tags:
- trocr
- image-to-text
widget:
- src: https://fki.tic.heia-fr.ch/static/img/a01-122-02.jpg
example_title: Note 1
- src: https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSoolxi9yWGAT5SLZShv8vVd0bz47UWRzQC19fDTeE8GmGv_Rn-PCF1pP1rrUx8kOjA4gg&usqp=CAU
example_title: Note 2
- src: https://encrypted-tbn0.... | 2,975 | [
[
-0.01531982421875,
-0.0298004150390625,
0.0121307373046875,
-0.0261383056640625,
-0.0272674560546875,
-0.00030303001403808594,
-0.00431060791015625,
-0.0662841796875,
0.00981903076171875,
0.050506591796875,
-0.02520751953125,
-0.034912109375,
-0.05078125,
0.... |
PulsarAI/EnsembleV5-Nova-13B | 2023-10-20T10:05:31.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | PulsarAI | null | null | PulsarAI/EnsembleV5-Nova-13B | 0 | 11,443 | transformers | 2023-09-04T20:33:04 | ---
license: cc-by-nc-4.0
---
<a href="https://www.buymeacoffee.com/PulsarAI" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 60px !important;width: 217px !important;" ></a>
# EnsembleV5-Nova-13B
EnsembleV5-Nova-13B is a merge of [yontaek/llam... | 898 | [
[
-0.036285400390625,
-0.036895751953125,
0.0294952392578125,
0.018951416015625,
-0.0307464599609375,
0.01373291015625,
0.00136566162109375,
-0.047637939453125,
0.067138671875,
0.0140533447265625,
-0.053375244140625,
-0.0384521484375,
-0.046905517578125,
0.008... |
SmilingWolf/wd-v1-4-swinv2-tagger-v2 | 2023-03-23T16:59:48.000Z | [
"keras",
"onnx",
"license:apache-2.0",
"has_space",
"region:us"
] | null | SmilingWolf | null | null | SmilingWolf/wd-v1-4-swinv2-tagger-v2 | 43 | 11,427 | keras | 2023-01-21T11:58:41 | ---
license: apache-2.0
---
# WD 1.4 SwinV2 Tagger V2
Supports ratings, characters and general tags.
Trained using https://github.com/SmilingWolf/SW-CV-ModelZoo.
TPUs used for training kindly provided by the [TRC program](https://sites.research.google/trc/about/).
## Dataset
Last image id: 5944504
Trained on Dan... | 730 | [
[
-0.03741455078125,
-0.013031005859375,
0.002777099609375,
0.007213592529296875,
-0.054718017578125,
-0.012786865234375,
-0.004673004150390625,
-0.05010986328125,
0.00992584228515625,
0.0296478271484375,
-0.05047607421875,
-0.071044921875,
-0.036529541015625,
... |
THUDM/chatglm-6b-int4 | 2023-07-08T03:06:02.000Z | [
"transformers",
"pytorch",
"chatglm",
"glm",
"thudm",
"custom_code",
"zh",
"en",
"endpoints_compatible",
"has_space",
"region:us"
] | null | THUDM | null | null | THUDM/chatglm-6b-int4 | 380 | 11,423 | transformers | 2023-03-19T12:01:56 | ---
language:
- zh
- en
tags:
- glm
- chatglm
- thudm
---
# ChatGLM-6B-INT4
<p align="center">
👋 Join our <a href="https://join.slack.com/t/chatglm/shared_invite/zt-1udqapmrr-ocT1DS_mxWe6dDY8ahRWzg" target="_blank">Slack</a> and <a href="https://github.com/THUDM/ChatGLM-6B/blob/main/resources/WECHAT.md" target="_b... | 3,201 | [
[
-0.04180908203125,
-0.055206298828125,
0.005062103271484375,
0.02685546875,
-0.0302734375,
0.003894805908203125,
-0.0218353271484375,
-0.027252197265625,
0.01438140869140625,
0.0058441162109375,
-0.035491943359375,
-0.039215087890625,
-0.04241943359375,
-0.0... |
TurkuNLP/bert-base-finnish-uncased-v1 | 2021-05-18T22:46:38.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"fi",
"arxiv:1912.07076",
"arxiv:1908.04212",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | TurkuNLP | null | null | TurkuNLP/bert-base-finnish-uncased-v1 | 0 | 11,418 | transformers | 2022-03-02T23:29:05 | ---
language: fi
---
## Quickstart
**Release 1.0** (November 25, 2019)
Download the models here:
* Cased Finnish BERT Base: [bert-base-finnish-cased-v1.zip](http://dl.turkunlp.org/finbert/bert-base-finnish-cased-v1.zip)
* Uncased Finnish BERT Base: [bert-base-finnish-uncased-v1.zip](http://dl.turkunlp.org/finbert/b... | 4,375 | [
[
-0.0391845703125,
-0.048828125,
0.0145721435546875,
0.0082855224609375,
-0.0219268798828125,
-0.0086822509765625,
-0.03912353515625,
-0.045989990234375,
0.01861572265625,
0.02593994140625,
-0.036376953125,
-0.055267333984375,
-0.044921875,
-0.003864288330078... |
jjzha/jobbert_knowledge_extraction | 2023-10-26T10:25:41.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"token-classification",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | jjzha | null | null | jjzha/jobbert_knowledge_extraction | 0 | 11,407 | transformers | 2023-04-06T14:15:13 | This is a demo using the models from:
```
@inproceedings{zhang-etal-2022-skillspan,
title = "{S}kill{S}pan: Hard and Soft Skill Extraction from {E}nglish Job Postings",
author = "Zhang, Mike and
Jensen, Kristian and
Sonniks, Sif and
Plank, Barbara",
booktitle = "Proceedings of the 2022... | 1,943 | [
[
-0.0180816650390625,
-0.05438232421875,
0.017303466796875,
0.0204315185546875,
0.00524139404296875,
-0.01629638671875,
-0.0345458984375,
-0.04180908203125,
-0.0005745887756347656,
0.04437255859375,
-0.0460205078125,
-0.03448486328125,
-0.043212890625,
0.0100... |
stanfordnlp/backpack-gpt2 | 2023-08-14T20:03:44.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"backpack",
"backpackmodel",
"custom_code",
"en",
"dataset:openwebtext",
"arxiv:2305.16765",
"license:apache-2.0",
"has_space",
"region:us"
] | text-generation | stanfordnlp | null | null | stanfordnlp/backpack-gpt2 | 15 | 11,390 | transformers | 2023-05-29T05:17:39 | ---
pipeline_tag: text-generation
tags:
- text-generation-inference
- backpack
- backpackmodel
library_name: transformers
license: apache-2.0
datasets:
- openwebtext
language:
- en
---
# Model Card for Backpack-GPT2
<!-- Provide a quick summary of what the model is/does. [Optional] -->
The Backpack-GPT2 language mod... | 5,863 | [
[
-0.019989013671875,
-0.047637939453125,
0.013153076171875,
0.01885986328125,
-0.013214111328125,
-0.01346588134765625,
-0.01493072509765625,
-0.045166015625,
-0.0240936279296875,
0.017303466796875,
-0.033935546875,
-0.0269317626953125,
-0.04400634765625,
-0.... |
PygmalionAI/pygmalion-2-7b | 2023-09-15T20:29:47.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"text generation",
"instruct",
"en",
"dataset:PygmalionAI/PIPPA",
"dataset:Open-Orca/OpenOrca",
"dataset:Norquinal/claude_multiround_chat_30k",
"dataset:jondurbin/airoboros-gpt4-1.4.1",
"dataset:databricks/databricks-dolly... | text-generation | PygmalionAI | null | null | PygmalionAI/pygmalion-2-7b | 33 | 11,372 | transformers | 2023-09-04T22:20:25 | ---
language:
- en
thumbnail: null
tags:
- text generation
- instruct
pipeline_tag: text-generation
inference: false
license: llama2
datasets:
- PygmalionAI/PIPPA
- Open-Orca/OpenOrca
- Norquinal/claude_multiround_chat_30k
- jondurbin/airoboros-gpt4-1.4.1
- databricks/databricks-dolly-15k
---
<h1 style="text-align: cen... | 3,309 | [
[
-0.01548004150390625,
-0.059173583984375,
0.017333984375,
0.0309600830078125,
-0.026275634765625,
-0.010589599609375,
-0.023284912109375,
-0.042205810546875,
0.00775909423828125,
0.0234832763671875,
-0.055572509765625,
-0.0237884521484375,
-0.036285400390625,
... |
xiaolxl/Stable-diffusion-models | 2023-02-17T08:47:29.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | xiaolxl | null | null | xiaolxl/Stable-diffusion-models | 33 | 11,354 | diffusers | 2022-11-22T03:42:40 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
---
模型均来自网络，此仓库仅作为下载备用 | 179 | [
[
-0.0069580078125,
-0.035858154296875,
-0.0043792724609375,
0.08154296875,
-0.07196044921875,
0.002216339111328125,
0.01056671142578125,
-0.0197601318359375,
0.04669189453125,
0.055755615234375,
-0.015838623046875,
-0.0043182373046875,
-0.04046630859375,
-0.0... |
symanto/sn-xlm-roberta-base-snli-mnli-anli-xnli | 2023-02-20T09:49:54.000Z | [
"sentence-transformers",
"pytorch",
"xlm-roberta",
"zero-shot-classification",
"feature-extraction",
"sentence-similarity",
"transformers",
"ar",
"bg",
"de",
"el",
"en",
"es",
"fr",
"ru",
"th",
"tr",
"ur",
"vn",
"zh",
"dataset:SNLI",
"dataset:MNLI",
"dataset:ANLI",
"dat... | sentence-similarity | symanto | null | null | symanto/sn-xlm-roberta-base-snli-mnli-anli-xnli | 59 | 11,346 | sentence-transformers | 2022-03-02T23:29:05 | ---
language:
- ar
- bg
- de
- el
- en
- es
- fr
- ru
- th
- tr
- ur
- vn
- zh
datasets:
- SNLI
- MNLI
- ANLI
- XNLI
pipeline_tag: sentence-similarity
tags:
- zero-shot-classification
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
A Siamese network mode... | 2,725 | [
[
-0.0152587890625,
-0.042236328125,
0.016693115234375,
0.015106201171875,
-0.0190277099609375,
-0.025482177734375,
-0.01212310791015625,
-0.00785064697265625,
0.02569580078125,
0.037353515625,
-0.042144775390625,
-0.039031982421875,
-0.05242919921875,
0.01168... |
upstage/SOLAR-0-70b-16bit | 2023-09-13T09:14:02.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"upstage",
"llama-2",
"instruct",
"instruction",
"en",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | upstage | null | null | upstage/SOLAR-0-70b-16bit | 220 | 11,338 | transformers | 2023-07-30T01:10:53 | ---
language:
- en
tags:
- upstage
- llama-2
- instruct
- instruction
pipeline_tag: text-generation
---
# Updates
Solar, a new bot created by Upstage, is now available on **Poe**. As a top-ranked model on the HuggingFace Open LLM leaderboard, and a fine tune of Llama 2, Solar is a great example of the progress enabled ... | 5,847 | [
[
-0.0258026123046875,
-0.0428466796875,
0.024627685546875,
0.0290985107421875,
-0.0299835205078125,
0.0099639892578125,
-0.0126495361328125,
-0.039215087890625,
0.0302581787109375,
0.013671875,
-0.048431396484375,
-0.042083740234375,
-0.0533447265625,
0.00262... |
lllyasviel/control_v11p_sd15_lineart | 2023-05-04T18:49:42.000Z | [
"diffusers",
"art",
"controlnet",
"stable-diffusion",
"controlnet-v1-1",
"image-to-image",
"arxiv:2302.05543",
"license:openrail",
"has_space",
"diffusers:ControlNetModel",
"region:us"
] | image-to-image | lllyasviel | null | null | lllyasviel/control_v11p_sd15_lineart | 19 | 11,335 | diffusers | 2023-04-14T19:25:13 | ---
license: openrail
base_model: runwayml/stable-diffusion-v1-5
tags:
- art
- controlnet
- stable-diffusion
- controlnet-v1-1
- image-to-image
duplicated_from: ControlNet-1-1-preview/control_v11p_sd15_lineart
---
# Controlnet - v1.1 - *lineart Version*
**Controlnet v1.1** was released in [lllyasviel/ControlNet-v1-1]... | 15,396 | [
[
-0.04595947265625,
-0.04620361328125,
0.009613037109375,
0.045196533203125,
-0.019134521484375,
-0.0184783935546875,
0.00482177734375,
-0.0421142578125,
0.0426025390625,
0.01898193359375,
-0.05743408203125,
-0.0265045166015625,
-0.054931640625,
-0.0117645263... |
Yntec/CetusRemix | 2023-08-29T09:22:58.000Z | [
"diffusers",
"Anime",
"2D",
"2.5D",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Eagelaxis",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/CetusRemix | 3 | 11,329 | diffusers | 2023-08-29T07:36:41 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
language:
- en
tags:
- Anime
- 2D
- 2.5D
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- Eagelaxis
inference: true
---
# Cetus Remix
A mix of Cetus 3.5 and Cetus 4 to create my favorite Cetus model! Check out this... | 920 | [
[
-0.057861328125,
-0.0273284912109375,
0.04669189453125,
0.0308837890625,
-0.034912109375,
0.003849029541015625,
-0.0036182403564453125,
-0.037994384765625,
0.056915283203125,
0.03692626953125,
-0.0204925537109375,
-0.04229736328125,
-0.027435302734375,
-0.00... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.