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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
stabilityai/stable-diffusion-2-1-unclip | 2023-04-12T15:49:10.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"arxiv:2112.10752",
"arxiv:1910.09700",
"license:openrail++",
"has_space",
"diffusers:StableUnCLIPImg2ImgPipeline",
"region:us"
] | text-to-image | stabilityai | null | null | stabilityai/stable-diffusion-2-1-unclip | 216 | 17,333 | diffusers | 2023-03-20T13:11:38 | ---
license: openrail++
tags:
- stable-diffusion
- text-to-image
pinned: true
---
# Stable Diffusion v2-1-unclip Model Card
This model card focuses on the model associated with the Stable Diffusion v2-1 model, codebase available [here](https://github.com/Stability-AI/stablediffusion).
This `stable-diffusion-2-1-uncli... | 8,136 | [
[
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EleutherAI/polyglot-ko-12.8b | 2023-06-07T05:03:56.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"causal-lm",
"ko",
"arxiv:2104.09864",
"arxiv:2204.04541",
"arxiv:2306.02254",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | EleutherAI | null | null | EleutherAI/polyglot-ko-12.8b | 63 | 17,274 | transformers | 2022-10-14T23:46:19 | ---
language:
- ko
tags:
- pytorch
- causal-lm
license: apache-2.0
---
# Polyglot-Ko-12.8B
## Model Description
Polyglot-Ko is a series of large-scale Korean autoregressive language models made by the EleutherAI polyglot team.
| Hyperparameter | Value ... | 15,490 | [
[
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... |
aneuraz/awesome-align-with-co | 2022-04-29T16:16:12.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"sentence alignment",
"de",
"fr",
"en",
"ro",
"zh",
"arxiv:2101.08231",
"license:bsd-3-clause",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | aneuraz | null | null | aneuraz/awesome-align-with-co | 1 | 17,265 | transformers | 2022-04-29T14:55:54 | ---
language:
- de
- fr
- en
- ro
- zh
thumbnail:
tags:
- sentence alignment
license: bsd-3-clause
---
# AWESOME: Aligning Word Embedding Spaces of Multilingual Encoders
This model comes from the following GitHub repository: [https://github.com/neulab/awesome-align](https://github.com/neulab/awesome-align... | 3,158 | [
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sentence-transformers/sentence-t5-base | 2022-06-21T14:56:18.000Z | [
"sentence-transformers",
"pytorch",
"rust",
"t5",
"feature-extraction",
"sentence-similarity",
"transformers",
"en",
"arxiv:2108.08877",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/sentence-t5-base | 28 | 17,188 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
language: en
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/sentence-t5-base
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 7... | 2,014 | [
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-0.061920166015625,
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timm/vit_large_patch14_clip_224.openai_ft_in12k_in1k | 2023-05-06T00:12:58.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:wit-400m",
"dataset:imagenet-12k",
"arxiv:2212.07143",
"arxiv:2103.00020",
"arxiv:2010.11929",
"license:apache-2.0",
"has_space",
"region:us"
] | image-classification | timm | null | null | timm/vit_large_patch14_clip_224.openai_ft_in12k_in1k | 33 | 17,148 | timm | 2022-11-03T04:37:01 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- wit-400m
- imagenet-12k
---
# Model card for vit_large_patch14_clip_224.openai_ft_in12k_in1k
A Vision Transformer (ViT) image classification model. Pretrained on WIT-400M image-text pairs by OpenAI using CLIP. Fine... | 4,441 | [
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0.00023090... |
EleutherAI/pythia-410m-deduped | 2023-07-09T16:05:38.000Z | [
"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-410m-deduped | 16 | 17,139 | transformers | 2023-02-13T21:27:47 | ---
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... | 13,668 | [
[
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mrsinghania/asr-question-detection | 2021-09-21T06:44:23.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"endpoints_compatible",
"region:us"
] | text-classification | mrsinghania | null | null | mrsinghania/asr-question-detection | 4 | 17,119 | transformers | 2022-03-02T23:29:05 | <i>Question vs Statement classifier</i> trained on more than 7k samples which were coming from spoken data in an interview setting
<b>Code for using in Transformers:</b>
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("mrsinghania/asr-question-de... | 427 | [
[
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Salesforce/codet5-base | 2021-11-23T09:53:41.000Z | [
"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-base | 83 | 17,108 | transformers | 2022-03-02T23:29:04 | ---
license: apache-2.0
tags:
- codet5
datasets:
- code_search_net
inference: false
---
# CodeT5 (base-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) by... | 4,140 | [
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nlpaueb/bert-base-greek-uncased-v1 | 2022-03-02T16:32:57.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"pretraining",
"fill-mask",
"el",
"arxiv:2008.12014",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | nlpaueb | null | null | nlpaueb/bert-base-greek-uncased-v1 | 17 | 17,048 | transformers | 2022-03-02T23:29:05 | ---
language: el
pipeline_tag: fill-mask
thumbnail: https://github.com/nlpaueb/GreekBERT/raw/master/greek-bert-logo.png
widget:
- text: "Σήμερα είναι μια [MASK] μέρα."
---
# GreekBERT
A Greek version of BERT pre-trained language model.
<img src="https://github.com/nlpaueb/GreekBERT/raw/master/greek-bert-logo.png" w... | 8,614 | [
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0.... |
bigscience/bloom-3b | 2023-04-14T08:43:29.000Z | [
"transformers",
"pytorch",
"safetensors",
"bloom",
"text-generation",
"ak",
"ar",
"as",
"bm",
"bn",
"ca",
"code",
"en",
"es",
"eu",
"fon",
"fr",
"gu",
"hi",
"id",
"ig",
"ki",
"kn",
"lg",
"ln",
"ml",
"mr",
"ne",
"nso",
"ny",
"or",
"pa",
"pt",
"rn",
... | text-generation | bigscience | null | null | bigscience/bloom-3b | 70 | 17,016 | transformers | 2022-05-19T11:52:27 | ---
license: bigscience-bloom-rail-1.0
language:
- ak
- ar
- as
- bm
- bn
- ca
- code
- en
- es
- eu
- fon
- fr
- gu
- hi
- id
- ig
- ki
- kn
- lg
- ln
- ml
- mr
- ne
- nso
- ny
- or
- pa
- pt
- rn
- rw
- sn
- st
- sw
- ta
- te
- tn
- ts
- tum
- tw
- ur
- vi
- wo
- xh
- yo
- zh
- zhs
- zht
- zu
pipeline_tag: text-gener... | 64,277 | [
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t5-11b | 2023-01-02T16:15:50.000Z | [
"transformers",
"pytorch",
"tf",
"t5",
"text2text-generation",
"summarization",
"translation",
"en",
"fr",
"ro",
"de",
"multilingual",
"dataset:c4",
"arxiv:1805.12471",
"arxiv:1708.00055",
"arxiv:1704.05426",
"arxiv:1606.05250",
"arxiv:1808.09121",
"arxiv:1810.12885",
"arxiv:19... | translation | null | null | null | t5-11b | 41 | 17,013 | transformers | 2022-03-02T23:29:04 | ---
language:
- en
- fr
- ro
- de
- multilingual
license: apache-2.0
tags:
- summarization
- translation
datasets:
- c4
inference: false
---
# Model Card for T5 11B
![model image](https://camo.githubusercontent.com/623b4dea0b653f2ad3f36c71ebfe749a677ac0a1/68747470733a2f2f6d69726f2e6d656469756d2e636f6d2f6d61782f343030... | 8,603 | [
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0.02... |
hirotasoshu/tiny-random-prophetnet | 2023-03-30T10:45:15.000Z | [
"transformers",
"pytorch",
"prophetnet",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | hirotasoshu | null | null | hirotasoshu/tiny-random-prophetnet | 0 | 17,008 | transformers | 2023-03-27T08:26:02 | Same as `hf-internal-testing/tiny-random-prophetnet`, but with higher max_length and max_position_embedding | 107 | [
[
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0.... |
peft-internal-testing/tiny_OPTForFeatureExtraction-lora | 2023-07-24T08:53:35.000Z | [
"peft",
"text-generation",
"region:us"
] | text-generation | peft-internal-testing | null | null | peft-internal-testing/tiny_OPTForFeatureExtraction-lora | 0 | 17,008 | peft | 2023-07-13T14:10:04 | ---
library_name: peft
pipeline_tag: text-generation
---
## Training procedure
### Framework versions
- PEFT 0.4.0.dev0 | 122 | [
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0.013... |
NousResearch/Nous-Capybara-7B-V1 | 2023-10-28T21:17:12.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama-2",
"sft",
"eng",
"dataset:LDJnr/LessWrong-Amplify-Instruct",
"dataset:LDJnr/Pure-Dove",
"dataset:LDJnr/Verified-Camel",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | NousResearch | null | null | NousResearch/Nous-Capybara-7B-V1 | 17 | 16,947 | transformers | 2023-09-20T01:08:27 | ---
language:
- eng
tags:
- llama-2
- sft
license:
- mit
datasets:
- LDJnr/LessWrong-Amplify-Instruct
- LDJnr/Pure-Dove
- LDJnr/Verified-Camel
---
## **Nous-Capybara-7B V1**
**MUCH BETTER MISTRAL BASED VERSION IS OUT NOW AS CAPYBARA V1.9**
The Capybara series is made by fine-tuning on data that is created by Nous wi... | 5,301 | [
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-... |
MBZUAI/LaMini-T5-738M | 2023-04-28T12:07:40.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"instruction fine-tuning",
"en",
"arxiv:2304.14402",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | MBZUAI | null | null | MBZUAI/LaMini-T5-738M | 26 | 16,946 | transformers | 2023-04-17T05:35:04 | ---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
- instruction fine-tuning
model-index:
- name: flan-t5-small-distil-v2
results: []
language:
- en
pipeline_tag: text2text-generation
widget:
- text: >-
how can I become more healthy?
example_title: example
---
<!-- This model card has been generate... | 6,363 | [
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ArthurZ/flax-tiny-random-bert-sharded | 2022-11-14T06:24:51.000Z | [
"transformers",
"jax",
"bert",
"feature-extraction",
"flax",
"endpoints_compatible",
"region:us"
] | feature-extraction | ArthurZ | null | null | ArthurZ/flax-tiny-random-bert-sharded | 0 | 16,928 | transformers | 2022-06-17T16:08:40 | ---
tags:
- flax
---
# Model Card for flax-tiny-random-bert-sharded
# Model Details
## Model Description
This model is used to check that the sharding of a flax_model works properly. See [`test_checkpoint_sharding_from_hub`](https://github.com/huggingface/transformers/blob/main/tests/test_modeling_flax_common.py#L... | 502 | [
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aiplanet/effi-13b | 2023-08-20T04:16:56.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:kaist-ai/CoT-Collection",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | aiplanet | null | null | aiplanet/effi-13b | 7 | 16,901 | transformers | 2023-08-18T13:59:35 | ---
license: apache-2.0
datasets:
- kaist-ai/CoT-Collection
metrics:
- accuracy
pipeline_tag: text-generation
---
# Model card for aiplanet/effi-13b
effi-13B parameters is a causal decoder-only model built by AI Planet based on Llama-2-13b-chat-hf and fine tuned using the 1.8 Million coversations from CoT dataset avai... | 6,954 | [
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0.009590... |
Salesforce/blip-vqa-capfilt-large | 2023-08-01T14:48:25.000Z | [
"transformers",
"pytorch",
"tf",
"blip",
"question-answering",
"visual-question-answering",
"arxiv:2201.12086",
"license:bsd-3-clause",
"autotrain_compatible",
"has_space",
"region:us"
] | visual-question-answering | Salesforce | null | null | Salesforce/blip-vqa-capfilt-large | 19 | 16,887 | transformers | 2022-12-13T11:37:19 | ---
pipeline_tag: visual-question-answering
tags:
- visual-question-answering
inference: false
languages:
- en
license: bsd-3-clause
---
# BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Model card for BLIP trained on visual question answering - large archi... | 4,843 | [
[
-0.0233001708984375,
-0.047119140625,
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0.0340576171875,
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0.0201263427734375,
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-0.0271148681640625,
-0.034790039062... |
cross-encoder/msmarco-MiniLM-L6-en-de-v1 | 2021-08-05T08:40:24.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | cross-encoder | null | null | cross-encoder/msmarco-MiniLM-L6-en-de-v1 | 3 | 16,886 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
---
# Cross-Encoder for MS MARCO - EN-DE
This is a cross-lingual Cross-Encoder model for EN-DE that can be used for passage re-ranking. It was trained on the [MS Marco Passage Ranking](https://github.com/microsoft/MSMARCO-Passage-Ranking) task.
The model can be used for Information Retrieval: ... | 4,798 | [
[
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0.... |
Helsinki-NLP/opus-mt-gem-gem | 2023-08-16T11:37:53.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"da",
"sv",
"af",
"nn",
"fy",
"fo",
"de",
"nb",
"nl",
"is",
"en",
"lb",
"yi",
"gem",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-gem-gem | 0 | 16,781 | transformers | 2022-03-02T23:29:04 | ---
language:
- da
- sv
- af
- nn
- fy
- fo
- de
- nb
- nl
- is
- en
- lb
- yi
- gem
tags:
- translation
license: apache-2.0
---
### gem-gem
* source group: Germanic languages
* target group: Germanic languages
* OPUS readme: [gem-gem](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gem-gem... | 17,233 | [
[
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0.0... |
Habana/bert-large-uncased-whole-word-masking | 2023-09-08T16:18:32.000Z | [
"optimum_habana",
"license:apache-2.0",
"region:us"
] | null | Habana | null | null | Habana/bert-large-uncased-whole-word-masking | 0 | 16,770 | null | 2022-04-22T18:04:29 | ---
license: apache-2.0
---
[Optimum Habana](https://github.com/huggingface/optimum-habana) is the interface between the Hugging Face Transformers and Diffusers libraries and Habana's Gaudi processor (HPU).
It provides a set of tools enabling easy and fast model loading, training and inference on single- and multi-HPU... | 2,244 | [
[
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0.0208892822265625,
-0.0452880859375,
-0.01468658447265625,
-0.0308074951171875,
... |
FFusion/FFusionXL-BASE | 2023-08-17T20:52:00.000Z | [
"diffusers",
"onnx",
"safetensors",
"openvino",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"stable-diffusion",
"text-to-image",
"di.FFusion.ai",
"en",
"arxiv:2112.10752",
"arxiv:2307.01952",
"arxiv:2106.09685",
"doi:10.57967/hf/1094",
"license:openrail++",
"model-index",
... | text-to-image | FFusion | null | null | FFusion/FFusionXL-BASE | 21 | 16,763 | diffusers | 2023-07-27T14:59:49 | ---
license: openrail++
base_model: diffusers/stable-diffusion-xl-base-1.0
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- stable-diffusion
- text-to-image
- diffusers
- di.FFusion.ai
inference: true
widget:
- text: >-
a dog in colorful exploding clouds, dreamlike surrealism colorful smoke and fi... | 25,960 | [
[
-0.042022705078125,
-0.058013916015625,
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0.011627197265625,
0.01806640625,
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-0.05078125,
-0.04443359375,
-0.0059661865... |
jondurbin/airoboros-33b-gpt4-m2.0 | 2023-08-14T10:10:54.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:jondurbin/airoboros-gpt4-m2.0",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | jondurbin | null | null | jondurbin/airoboros-33b-gpt4-m2.0 | 3 | 16,701 | transformers | 2023-07-29T07:53:31 | ---
license: cc-by-nc-4.0
datasets:
- jondurbin/airoboros-gpt4-m2.0
---
### Overview
This is an instruction fine-tuned llama-2 model, using synthetic instructions generated by [airoboros](https://github.com/jondurbin/airoboros)
- The 2.0 series are generated exclusively from 0614 version of gpt-4, as mechanism to co... | 17,512 | [
[
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0.01171875,
0.032928466796875,
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0.02215576... |
facebook/tart-full-flan-t5-xl | 2022-12-21T06:58:39.000Z | [
"transformers",
"pytorch",
"t5",
"text-classification",
"arxiv:2211.09260",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-classification | facebook | null | null | facebook/tart-full-flan-t5-xl | 23 | 16,689 | transformers | 2022-12-21T05:20:02 | # Task-aware Retrieval with Instructions
Official repository: [github.com/facebookresearch/tart](https://github.com/facebookresearch/tart)
### Model descriptions
`facebook/tart-full-flan-t5-xl` is a multi-task cross-encoder model trained via instruction-tuning on approximately 40 retrieval tasks, which is initialize... | 3,248 | [
[
-0.0209503173828125,
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-0.041656494140625,
-0.051849365234375,
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... |
Davlan/xlm-roberta-large-ner-hrl | 2023-08-14T19:35:59.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"xlm-roberta",
"token-classification",
"license:afl-3.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | Davlan | null | null | Davlan/xlm-roberta-large-ner-hrl | 11 | 16,652 | transformers | 2022-03-02T23:29:04 | ---
license: afl-3.0
---
Hugging Face's logo
---
language:
- ar
- de
- en
- es
- fr
- it
- lv
- nl
- pt
- zh
- multilingual
---
# xlm-roberta-large-ner-hrl
## Model description
**xlm-roberta-large-ner-hrl** is a **Named Entity Recognition** model for 10 high resourced languages (Arabic, German, English, Spanish, Fren... | 3,048 | [
[
-0.039764404296875,
-0.0458984375,
0.01397705078125,
0.026611328125,
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-0.02752685546875,
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0.0308685302734375,
-0.0340576171875,
-0.053680419921875,
-0.063720703125,
0.03332519531... |
FredZhang7/distilgpt2-stable-diffusion-v2 | 2023-03-16T20:06:26.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"stable-diffusion",
"prompt-generator",
"arxiv:2210.14140",
"dataset:FredZhang7/stable-diffusion-prompts-2.47M",
"dataset:poloclub/diffusiondb",
"dataset:Gustavosta/Stable-Diffusion-Prompts",
"dataset:bartman081523/stable-dif... | text-generation | FredZhang7 | null | null | FredZhang7/distilgpt2-stable-diffusion-v2 | 79 | 16,623 | transformers | 2022-12-10T06:49:07 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- prompt-generator
- arxiv:2210.14140
widget:
- text: "amazing"
- text: "a photo of"
- text: "a sci-fi"
- text: "a portrait of"
- text: "a person standing"
- text: "a boy watching"
datasets:
- FredZhang7/stable-diffusion-prompts-2.47M
- poloclub/diffusiondb
- ... | 3,500 | [
[
-0.0193634033203125,
-0.051025390625,
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0.012542724609375,
-0.0469970703125,
-0.035400390625,
-0.0458984375,
0.0183563232421... |
Yntec/AbsoluteReality | 2023-10-03T10:40:59.000Z | [
"diffusers",
"General",
"LandScapes",
"Photorealistic",
"Lykon",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/AbsoluteReality | 0 | 16,599 | diffusers | 2023-10-03T09:44:25 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- General
- LandScapes
- Photorealistic
- Lykon
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# Absolute Reality
v1.8.1 version of this model. Original page: https://civitai.com/models/8145... | 913 | [
[
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0.03582763671875,
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0.037994384765625,
-0.06072998046875,
-0.039703369140625,
-0.0228729248046875,
-0.020385... |
ai-forever/rugpt3large_based_on_gpt2 | 2023-11-03T12:50:25.000Z | [
"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/rugpt3large_based_on_gpt2 | 61 | 16,557 | transformers | 2022-03-02T23:29:05 | ---
language:
- ru
tags:
- PyTorch
- Transformers
thumbnail: "https://github.com/sberbank-ai/ru-gpts"
---
# rugpt3large\_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/... | 1,311 | [
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-0.... |
stanfordnlp/stanza-nl | 2023-10-02T23:43:10.000Z | [
"stanza",
"token-classification",
"nl",
"license:apache-2.0",
"region:us"
] | token-classification | stanfordnlp | null | null | stanfordnlp/stanza-nl | 2 | 16,550 | stanza | 2022-03-02T23:29:05 | ---
tags:
- stanza
- token-classification
library_name: stanza
language: nl
license: apache-2.0
---
# Stanza model for Dutch (nl)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings... | 678 | [
[
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0.04254150390625,
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-0.03631591796875,
0.0093... |
timm/vit_tiny_patch16_224.augreg_in21k_ft_in1k | 2023-05-06T00:30:03.000Z | [
"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_tiny_patch16_224.augreg_in21k_ft_in1k | 1 | 16,519 | timm | 2022-12-22T07:56:04 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for vit_tiny_patch16_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 | [
[
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0... |
deepset/roberta-base-squad2-distilled | 2023-09-26T08:34:45.000Z | [
"transformers",
"pytorch",
"safetensors",
"roberta",
"question-answering",
"exbert",
"en",
"dataset:squad_v2",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | deepset | null | null | deepset/roberta-base-squad2-distilled | 5 | 16,500 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: mit
tags:
- exbert
datasets:
- squad_v2
thumbnail: https://thumb.tildacdn.com/tild3433-3637-4830-a533-353833613061/-/resize/720x/-/format/webp/germanquad.jpg
model-index:
- name: deepset/roberta-base-squad2-distilled
results:
- task:
type: question-answering
name: Question Answ... | 5,991 | [
[
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-0.059814453125,
-0.03057861328125,
-0.000... |
google/bert_uncased_L-4_H-512_A-8 | 2021-05-19T17:30:51.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"arxiv:1908.08962",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | google | null | null | google/bert_uncased_L-4_H-512_A-8 | 3 | 16,485 | transformers | 2022-03-02T23:29:05 | ---
thumbnail: https://huggingface.co/front/thumbnails/google.png
license: apache-2.0
---
BERT Miniatures
===
This is the set of 24 BERT models referenced in [Well-Read Students Learn Better: On the Importance of Pre-training Compact Models](https://arxiv.org/abs/1908.08962) (English only, uncased, trained with Word... | 4,617 | [
[
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0.0239410400390625,
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-0.016937255859375,
-0.0239715576171875,
-0.031219482421875,
0.04376220703125,
-0.006092071533203125,
-0.06103515625,
-0.030670166015625,
-0.052093505859375,
-0... |
laion/clap-htsat-unfused | 2023-04-24T14:39:57.000Z | [
"transformers",
"pytorch",
"clap",
"feature-extraction",
"arxiv:2211.06687",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | laion | null | null | laion/clap-htsat-unfused | 16 | 16,460 | transformers | 2023-02-16T20:47:08 | ---
license: apache-2.0
---
# Model card for CLAP
Model card for CLAP: Contrastive Language-Audio Pretraining
# Table of Contents
0. [TL;DR](#TL;DR)
1. [Model Details](#model-details)
2. [Usage](#usage)
3.... | 4,454 | [
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togethercomputer/RedPajama-INCITE-7B-Base | 2023-06-06T02:44:34.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"en",
"dataset:togethercomputer/RedPajama-Data-1T",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | togethercomputer | null | null | togethercomputer/RedPajama-INCITE-7B-Base | 89 | 16,414 | transformers | 2023-05-04T05:50:06 | ---
license: apache-2.0
language:
- en
datasets:
- togethercomputer/RedPajama-Data-1T
---
# RedPajama-INCITE-7B-Base
RedPajama-INCITE-7B-Base was developed by Together and leaders from the open-source AI community including Ontocord.ai, ETH DS3Lab, AAI CERC, Université de Montréal, MILA - Québec AI Institute, Stanfor... | 9,424 | [
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amazon/FalconLite | 2023-08-03T15:29:56.000Z | [
"transformers",
"RefinedWeb",
"text-generation",
"custom_code",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | amazon | null | null | amazon/FalconLite | 171 | 16,407 | transformers | 2023-08-01T14:18:59 | ---
license: apache-2.0
inference: false
---
# FalconLite Model
FalconLite is a quantized version of the [Falcon 40B SFT OASST-TOP1 model](https://huggingface.co/OpenAssistant/falcon-40b-sft-top1-560), capable of processing long (i.e. 11K tokens) input sequences while consuming 4x less GPU memory. By utilizing 4-bit [... | 5,172 | [
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-0.047210693359375,
-0.036651611328125,
... |
Helsinki-NLP/opus-mt-cs-en | 2023-08-16T11:27:09.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"cs",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-cs-en | 0 | 16,388 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-cs-en
* source languages: cs
* target languages: en
* OPUS readme: [cs-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cs-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 1,043 | [
[
-0.0254058837890625,
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0.0272216796875,
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-0.04656982421875,
-0.041839599609375,
... |
cardiffnlp/twitter-roberta-base-hate-latest | 2023-08-02T00:30:47.000Z | [
"transformers",
"pytorch",
"tf",
"roberta",
"text-classification",
"en",
"endpoints_compatible",
"region:us"
] | text-classification | cardiffnlp | null | null | cardiffnlp/twitter-roberta-base-hate-latest | 10 | 16,354 | transformers | 2023-03-30T05:47:39 | ---
model-index:
- name: twitter-roberta-base-hate-latest
results: []
pipeline_tag: text-classification
language:
- en
---
# cardiffnlp/twitter-roberta-base-hate-latest
This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-2022-154m](https://huggingface.co/cardiffnlp/twitter-roberta-base-2022-154m) ... | 3,069 | [
[
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0.01873779296875,
-0.040771484375,
-0.0631103515625,
-0.07135009765625,
-0.0009131... |
TheBloke/Wizard-Vicuna-30B-Uncensored-GPTQ | 2023-09-27T12:44:25.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"uncensored",
"en",
"dataset:ehartford/wizard_vicuna_70k_unfiltered",
"license:other",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Wizard-Vicuna-30B-Uncensored-GPTQ | 407 | 16,342 | transformers | 2023-05-30T03:11:00 | ---
language:
- en
license: other
tags:
- uncensored
datasets:
- ehartford/wizard_vicuna_70k_unfiltered
model_name: Wizard Vicuna 30B Uncensored
base_model: ehartford/Wizard-Vicuna-30B-Uncensored
inference: false
model_creator: Eric Hartford
model_type: llama
prompt_template: 'A chat between a curious user and an artif... | 19,579 | [
[
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0.00579071044921875,
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0.0172576904296875,
0.032012939453125,
-0.042755126953125,
-0.0372314453125,
-0.0252227783203125,
... |
textattack/distilbert-base-uncased-CoLA | 2020-07-06T16:29:03.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | textattack | null | null | textattack/distilbert-base-uncased-CoLA | 1 | 16,319 | transformers | 2022-03-02T23:29:05 | ## TextAttack Model Cardand the glue dataset loaded using the `nlp` library. The model was fine-tuned
for 5 epochs with a batch size of 64, a learning
rate of 3e-05, and a maximum sequence length of 128.
Since this was a classification task, the model was trained with a cross-entropy loss function.
The best score t... | 530 | [
[
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... |
textattack/albert-base-v2-ag-news | 2020-07-07T21:59:15.000Z | [
"transformers",
"pytorch",
"albert",
"text-classification",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | textattack | null | null | textattack/albert-base-v2-ag-news | 0 | 16,314 | transformers | 2022-03-02T23:29:05 | ## TextAttack Model CardThis `albert-base-v2` model was fine-tuned for sequence classification using TextAttack
and the ag_news dataset loaded using the `nlp` library. The model was fine-tuned
for 5 epochs with a batch size of 16, a learning
rate of 2e-05, and a maximum sequence length of 128.
Since this was a clas... | 622 | [
[
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0.020477294921875,
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-0.051788330078125,
-0.04779052734375,... |
Helsinki-NLP/opus-mt-ur-en | 2023-08-16T12:08:24.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ur",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us",
"has_space"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-ur-en | 2 | 16,285 | transformers | 2022-03-02T23:29:04 | ---
language:
- ur
- en
tags:
- translation
license: apache-2.0
---
### urd-eng
* source group: Urdu
* target group: English
* OPUS readme: [urd-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/urd-eng/README.md)
* model: transformer-align
* source language(s): urd
* target language(s... | 2,051 | [
[
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0.02130126953125,
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-0.042724609375,
0.027938842773... |
TurkuNLP/bert-base-finnish-cased-v1 | 2022-06-10T08:43:15.000Z | [
"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-cased-v1 | 4 | 16,228 | transformers | 2022-03-02T23:29:05 | ---
language: fi
---
## Quickstart
**Release 1.0** (November 25, 2019)
We generally recommend the use of the cased model.
Paper presenting Finnish BERT: [arXiv:1912.07076](https://arxiv.org/abs/1912.07076)
## What's this?
A version of Google's [BERT](https://github.com/google-research/bert) deep transfer learning... | 3,875 | [
[
-0.035491943359375,
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0.0032215118408203125,
-0.0258331298828125,
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-0.042083740234375,
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0.01580810546875,
0.022308349609375,
-0.030609130859375,
-0.0557861328125,
-0.0433349609375,
... |
OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5 | 2023-05-24T14:04:02.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"sft",
"en",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | OpenAssistant | null | null | OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5 | 342 | 16,217 | transformers | 2023-04-03T20:06:28 | ---
license: apache-2.0
language:
- en
tags:
- sft
pipeline_tag: text-generation
widget:
- text: <|prompter|>What is a meme, and what's the history behind this word?<|endoftext|><|assistant|>
- text: <|prompter|>What's the Earth total population<|endoftext|><|assistant|>
- text: <|prompter|>Write a story abou... | 4,509 | [
[
-0.03765869140625,
-0.057861328125,
0.0241241455078125,
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-0.01019287109375,
-0.01197052001953125,
0.0125732421875,
0.004726409912109375,
-0.063232421875,
-0.033111572265625,
-0.0246429443359375,
0... |
textattack/albert-base-v2-CoLA | 2020-07-06T16:28:50.000Z | [
"transformers",
"pytorch",
"albert",
"text-classification",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | textattack | null | null | textattack/albert-base-v2-CoLA | 0 | 16,154 | transformers | 2022-03-02T23:29:05 | ## TextAttack Model Cardand the glue dataset loaded using the `nlp` library. The model was fine-tuned
for 5 epochs with a batch size of 32, a learning
rate of 3e-05, and a maximum sequence length of 128.
Since this was a classification task, the model was trained with a cross-entropy loss function.
The best score t... | 530 | [
[
-0.00289154052734375,
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-0.0108489990234375,
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-0.002208709716796875,
0.01074981689453125,
-0.03192138671875,
-0.050628662109375,
-0.044830322265... |
elyza/ELYZA-japanese-Llama-2-7b-fast-instruct | 2023-08-29T03:47:09.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ja",
"en",
"arxiv:2307.09288",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | elyza | null | null | elyza/ELYZA-japanese-Llama-2-7b-fast-instruct | 51 | 16,152 | transformers | 2023-08-28T13:36:19 | ---
license: llama2
language:
- ja
- en
---
## ELYZA-japanese-Llama-2-7b
### Model Description
**ELYZA-japanese-Llama-2-7b** は、 Llama2をベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。
詳細は [Blog記事](https://note.com/elyza/n/na405acaca130) を参照してください。
### Usage
```python
import tor... | 4,469 | [
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0.044830322265625,
0.00803375244140625,
-0.046356201171875,
-0.045318603515625,
-0.042816162109375,
... |
facebook/wmt19-de-en | 2023-09-19T07:27:56.000Z | [
"transformers",
"pytorch",
"fsmt",
"text2text-generation",
"translation",
"wmt19",
"facebook",
"de",
"en",
"dataset:wmt19",
"arxiv:1907.06616",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | facebook | null | null | facebook/wmt19-de-en | 14 | 16,144 | transformers | 2022-03-02T23:29:05 | ---
language:
- de
- en
tags:
- translation
- wmt19
- facebook
license: apache-2.0
datasets:
- wmt19
metrics:
- bleu
thumbnail: https://huggingface.co/front/thumbnails/facebook.png
---
# FSMT
## Model description
This is a ported version of [fairseq wmt19 transformer](https://github.com/pytorch/fairseq/blob/master/... | 3,431 | [
[
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0.01214599609375,
-0.06488037109375,
-0.02362060546875,
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... |
Helsinki-NLP/opus-mt-af-en | 2023-08-16T11:25:20.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"af",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-af-en | 0 | 16,140 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-af-en
* source languages: af
* target languages: en
* OPUS readme: [af-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/af-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 818 | [
[
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0.033447265625,
-0.051666259765625,
-0.04144287109375,
-0.04754638671875,
0.02... |
af1tang/personaGPT | 2023-08-20T20:10:05.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"arxiv:1801.07243",
"license:gpl-3.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | conversational | af1tang | null | null | af1tang/personaGPT | 99 | 16,133 | transformers | 2022-03-02T23:29:05 | ---
tags:
- conversational
license: gpl-3.0
---
## A conversational agent with many personalities (PersonaGPT)
PersonaGPT is an open-domain conversational agent designed to do 2 tasks:
1. decoding _personalized_ responses based on input personality facts (the "persona" profile of the bot).
2. incorporating _turn-leve... | 7,282 | [
[
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-0.0291748046875,
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... |
facebook/s2t-small-librispeech-asr | 2023-09-06T19:14:59.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"speech_to_text",
"automatic-speech-recognition",
"speech",
"audio",
"hf-asr-leaderboard",
"en",
"dataset:librispeech_asr",
"arxiv:2010.05171",
"arxiv:1904.08779",
"license:mit",
"model-index",
"endpoints_compatible",
"has_space",
"re... | automatic-speech-recognition | facebook | null | null | facebook/s2t-small-librispeech-asr | 19 | 16,109 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
- audio
- automatic-speech-recognition
- hf-asr-leaderboard
license: mit
pipeline_tag: automatic-speech-recognition
widget:
- example_title: Librispeech sample 1
src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
- example_title: Librispeech s... | 6,003 | [
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-0.03643798828125,
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0.005863189697265625,
0.030792236328125,
-0.0517578125,
-0.0215911865234375,
-0.0482177734375,
-0.... |
KoboldAI/fairseq-dense-13B-Janeway | 2022-04-07T10:51:39.000Z | [
"transformers",
"pytorch",
"xglm",
"text-generation",
"en",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | KoboldAI | null | null | KoboldAI/fairseq-dense-13B-Janeway | 10 | 16,063 | transformers | 2022-04-06T14:36:12 | ---
language: en
license: mit
---
# Fairseq-dense 13B - Janeway
## Model Description
Fairseq-dense 13B-Janeway is a finetune created using Fairseq's MoE dense model.
## Training data
The training data contains around 2210 ebooks, mostly in the sci-fi and fantasy genres. The dataset is identical as dataset used ... | 1,322 | [
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0.047454833984375,
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-0.034332275390625,
-0.0431823... |
line-corporation/line-distilbert-base-japanese | 2023-03-22T06:05:24.000Z | [
"transformers",
"pytorch",
"distilbert",
"fill-mask",
"ja",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | fill-mask | line-corporation | null | null | line-corporation/line-distilbert-base-japanese | 26 | 16,049 | transformers | 2023-03-09T08:52:55 | ---
inference: false
language: ja
license: apache-2.0
mask_token: "[MASK]"
widget:
- text: "LINE株式会社で[MASK]の研究・開発をしている。"
---
# LINE DistilBERT Japanese
This is a DistilBERT model pre-trained on 131 GB of Japanese web text.
The teacher model is BERT-base that built in-house at LINE.
The model was trained by [LINE Corp... | 2,519 | [
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0.0... |
warp-ai/wuerstchen | 2023-09-22T21:53:14.000Z | [
"diffusers",
"text-to-image",
"wuerstchen",
"arxiv:2306.00637",
"arxiv:1910.09700",
"license:mit",
"has_space",
"diffusers:WuerstchenDecoderPipeline",
"region:us"
] | text-to-image | warp-ai | null | null | warp-ai/wuerstchen | 132 | 16,039 | diffusers | 2023-07-19T19:10:32 | ---
license: mit
prior:
- warp-diffusion/wuerstchen-prior
tags:
- text-to-image
- wuerstchen
---
<img src="https://cdn-uploads.huggingface.co/production/uploads/634cb5eefb80cc6bcaf63c3e/i-DYpDHw8Pwiy7QBKZVR5.jpeg" width=1500>
## Würstchen - Overview
Würstchen is a diffusion model, whose text-conditional model works i... | 5,268 | [
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-0... |
textattack/bert-base-uncased-rotten_tomatoes | 2021-05-20T07:47:13.000Z | [
"transformers",
"pytorch",
"jax",
"tensorboard",
"bert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | textattack | null | null | textattack/bert-base-uncased-rotten_tomatoes | 0 | 16,023 | transformers | 2022-03-02T23:29:05 | ## bert-base-uncased fine-tuned with TextAttack on the rotten_tomatoes dataset
This `bert-base-uncased` model was fine-tuned for sequence classificationusing TextAttack
and the rotten_tomatoes dataset loaded using the `nlp` library. The model was fine-tuned
for 10 epochs with a batch size of 64, a le... | 728 | [
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-0.044525146484375,
-0.04852294921875,... |
textattack/albert-base-v2-rotten_tomatoes | 2020-06-25T20:00:46.000Z | [
"transformers",
"pytorch",
"tensorboard",
"albert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | textattack | null | null | textattack/albert-base-v2-rotten_tomatoes | 0 | 16,017 | transformers | 2022-03-02T23:29:05 | ## albert-base-v2 fine-tuned with TextAttack on the rotten_tomatoes dataset
This `albert-base-v2` model was fine-tuned for sequence classificationusing TextAttack
and the rotten_tomatoes dataset loaded using the `nlp` library. The model was fine-tuned
for 10 epochs with a batch size of 128, a learnin... | 723 | [
[
-0.019012451171875,
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-0.007328033447265625,
-0.0263519287109375,
-0.005420684814453125,
0.039306640625,
-0.0367431640625,
-0.042327880859375,
-0.05181884765625,
... |
textattack/roberta-base-rotten_tomatoes | 2021-05-20T22:18:23.000Z | [
"transformers",
"pytorch",
"jax",
"tensorboard",
"roberta",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | textattack | null | null | textattack/roberta-base-rotten_tomatoes | 1 | 15,985 | transformers | 2022-03-02T23:29:05 | ## roberta-base fine-tuned with TextAttack on the rotten_tomatoes dataset
This `roberta-base` model was fine-tuned for sequence classificationusing TextAttack
and the rotten_tomatoes dataset loaded using the `nlp` library. The model was fine-tuned
for 10 epochs with a batch size of 128, a learning
... | 720 | [
[
-0.014923095703125,
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0.03594970703125,
-0.00449371337890625,
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-0.0255279541015625,
-0.0207366943359375,
-0.00513458251953125,
0.038299560546875,
-0.041534423828125,
-0.048553466796875,
-0.057769775390625,
... |
hf-internal-testing/tiny-stable-diffusion-xl-pipe | 2023-09-26T13:51:51.000Z | [
"diffusers",
"onnx",
"text-to-image",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | hf-internal-testing | null | null | hf-internal-testing/tiny-stable-diffusion-xl-pipe | 0 | 15,946 | diffusers | 2023-07-10T06:53:23 | ---
library_name: diffusers
tags:
- text-to-image
---
```python
from diffusers import DiffusionPipeline
pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-stable-diffusion-xl-pipe")
```
The pipeline was created using this [Colab Notebook](https://colab.research.google.com/gist/sayakpaul/a7b986af7e9ea... | 359 | [
[
-0.032989501953125,
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-0.0017642974853515625,
-0.033843994140625,
... |
bigscience/bloomz-3b | 2023-05-27T17:26:10.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"bloom",
"text-generation",
"ak",
"ar",
"as",
"bm",
"bn",
"ca",
"code",
"en",
"es",
"eu",
"fon",
"fr",
"gu",
"hi",
"id",
"ig",
"ki",
"kn",
"lg",
"ln",
"ml",
"mr",
"ne",
"nso",
"ny",
"or",
"pa",
... | text-generation | bigscience | null | null | bigscience/bloomz-3b | 71 | 15,912 | transformers | 2022-10-08T16:47:24 | ---
datasets:
- bigscience/xP3
license: bigscience-bloom-rail-1.0
language:
- ak
- ar
- as
- bm
- bn
- ca
- code
- en
- es
- eu
- fon
- fr
- gu
- hi
- id
- ig
- ki
- kn
- lg
- ln
- ml
- mr
- ne
- nso
- ny
- or
- pa
- pt
- rn
- rw
- sn
- st
- sw
- ta
- te
- tn
- ts
- tum
- tw
- ur
- vi
- wo
- xh
- yo
- zh
- zu
programmi... | 24,191 | [
[
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-0.0248870849609375,
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0.03118896484375,
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-0.06854248046875,
-0.039947509765625,
-0.0401611328125,
... |
mosaicml/mpt-30b | 2023-10-30T21:54:24.000Z | [
"transformers",
"pytorch",
"mpt",
"text-generation",
"Composer",
"MosaicML",
"llm-foundry",
"StreamingDatasets",
"custom_code",
"dataset:allenai/c4",
"dataset:mc4",
"dataset:togethercomputer/RedPajama-Data-1T",
"dataset:bigcode/the-stack-dedup",
"dataset:allenai/s2orc",
"arxiv:2108.12409... | text-generation | mosaicml | null | null | mosaicml/mpt-30b | 322 | 15,892 | transformers | 2023-06-20T16:29:39 | ---
license: apache-2.0
tags:
- Composer
- MosaicML
- llm-foundry
- StreamingDatasets
datasets:
- allenai/c4
- mc4
- togethercomputer/RedPajama-Data-1T
- bigcode/the-stack-dedup
- allenai/s2orc
inference: false
---
# MPT-30B
MPT-30B is a decoder-style transformer pretrained from scratch on 1T tokens of English text a... | 12,202 | [
[
-0.03729248046875,
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-0.03900146484375,
-0.046142578125... |
beomi/KoAlpaca-Polyglot-5.8B | 2023-09-15T01:28:17.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"generated_from_trainer",
"polyglot-ko",
"gpt-neox",
"KoAlpaca",
"ko",
"dataset:KoAlpaca-v1.1b",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | beomi | null | null | beomi/KoAlpaca-Polyglot-5.8B | 50 | 15,878 | transformers | 2023-03-16T15:42:53 | ---
language:
- ko
license: apache-2.0
tags:
- generated_from_trainer
- polyglot-ko
- gpt-neox
- KoAlpaca
datasets:
- KoAlpaca-v1.1b
pipeline_tag: text-generation
base_model: EleutherAI/polyglot-ko-5.8b
model-index:
- name: KoAlpaca-Polyglot-5.8B
results: []
---
Update @ 2023.06.01
- Add Safetensor sharded model we... | 1,044 | [
[
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0.03778076171875,
-0.013397216796875,
-0.0290374755859375,
-0.062744140625,
-0.02758... |
yehiaserag/anime-pencil-diffusion | 2023-05-05T11:49:35.000Z | [
"diffusers",
"anime",
"stable-diffusion",
"aiart",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | yehiaserag | null | null | yehiaserag/anime-pencil-diffusion | 156 | 15,846 | diffusers | 2022-12-03T04:15:22 | ---
language:
- en
thumbnail: "https://huggingface.co/yehiaserag/anime-pencil-deffusion/resolve/main/example-v5.jpg"
tags:
- anime
- stable-diffusion
- aiart
- text-to-image
license: "creativeml-openrail-m"
---
# Anime-Pencil-Diffusion
A dreambooth finetune of stable diffusion 1.5 model that will output stuff in ani... | 2,894 | [
[
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-0.033599853515625,
0.005348205... |
keepitreal/vietnamese-sbert | 2022-02-19T08:01:34.000Z | [
"sentence-transformers",
"pytorch",
"roberta",
"feature-extraction",
"sentence-similarity",
"transformers",
"vietnamese",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | keepitreal | null | null | keepitreal/vietnamese-sbert | 16 | 15,824 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
- vietnamese
---
# {vietnamese-sbert}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for... | 3,869 | [
[
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-0.06915283203125,
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0.03302001953125,
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-0.048919677734375,
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0.... |
cafeai/cafe_aesthetic | 2022-11-23T12:08:27.000Z | [
"transformers",
"pytorch",
"beit",
"image-classification",
"license:agpl-3.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | cafeai | null | null | cafeai/cafe_aesthetic | 32 | 15,821 | transformers | 2022-11-14T09:56:39 | ---
license: agpl-3.0
---
# Info
Since people are downloading this and I don't know why, I'll add some information. This model is an image classifier fine-tuned on `microsoft/beit-base-patch16-384`.
Its purpose is to be used in the dataset conditioning step for the [Waifu Diffusion project](https://huggingface.co/hak... | 1,643 | [
[
-0.05169677734375,
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0.01837158203125,
-0.04608154296875,
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0.038238525390625,
-0.04254150390625,
-0.040252685546875,
-0.051422119140625,
-0.010719299... |
KoboldAI/OPT-13B-Erebus | 2022-09-09T13:54:35.000Z | [
"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-13B-Erebus | 157 | 15,695 | transformers | 2022-09-09T09:11:05 | ---
language: en
license: other
commercial: no
inference: false
---
# OPT 13B - 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, also... | 2,395 | [
[
-0.032196044921875,
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0.023681640625,
0.0531005859375,
-0.062225341796875,
-0.0292205810546875,
-0.029144287109375,
0.0250244... |
facebook/bart-large-xsum | 2023-01-24T16:28:59.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"bart",
"text2text-generation",
"summarization",
"en",
"arxiv:1910.13461",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | summarization | facebook | null | null | facebook/bart-large-xsum | 28 | 15,694 | transformers | 2022-03-02T23:29:05 | ---
tags:
- summarization
language:
- en
license: mit
model-index:
- name: facebook/bart-large-xsum
results:
- task:
type: summarization
name: Summarization
dataset:
name: cnn_dailymail
type: cnn_dailymail
config: 3.0.0
split: test
metrics:
- name: ROUGE-1
type:... | 2,997 | [
[
-0.032623291015625,
-0.0325927734375,
0.03570556640625,
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0.0379638671875,
0.05413818359375,
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-0.... |
timm/convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320 | 2023-03-31T22:28:54.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:laion-2b",
"arxiv:2210.08402",
"arxiv:2201.03545",
"arxiv:2103.00020",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320 | 4 | 15,674 | timm | 2023-03-31T22:26:03 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- laion-2b
---
# Model card for convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320
A ConvNeXt image classification model. CLIP image tower weights pretrained in [OpenCLIP](https://github.com/mlfoundations/open_cli... | 18,579 | [
[
-0.059356689453125,
-0.034088134765625,
-0.0017862319946289062,
0.037078857421875,
-0.028900146484375,
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-0.015625,
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0.05743408203125,
0.0191650390625,
-0.04071044921875,
-0.044830322265625,
-0.053680419921875,
-0.0011119... |
wonrax/phobert-base-vietnamese-sentiment | 2022-05-04T07:30:54.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"sentiment",
"classification",
"vi",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | wonrax | null | null | wonrax/phobert-base-vietnamese-sentiment | 5 | 15,602 | transformers | 2022-05-03T14:03:13 | ---
language:
- vi
tags:
- sentiment
- classification
license: mit
widget:
- text: "Không thể nào đẹp hơn"
- text: "Quá phí tiền, mà không đẹp"
- text: "Cái này giá ổn không nhỉ?"
---
[**GitHub Homepage**](https://github.com/wonrax/phobert-base-vietnamese-sentiment)
A model fine-tuned for sentiment analysis based on... | 1,267 | [
[
-0.0189971923828125,
-0.038238525390625,
0.0132293701171875,
0.03045654296875,
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0.021484375,
0.018646240234375,
-0.0189971923828125,
-0.064208984375,
-0.040679931640625,
0.001... |
WizardLM/WizardLM-13B-V1.2 | 2023-09-09T06:45:42.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2304.12244",
"arxiv:2306.08568",
"arxiv:2308.09583",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | WizardLM | null | null | WizardLM/WizardLM-13B-V1.2 | 174 | 15,571 | transformers | 2023-07-25T13:51:28 | ---
license: llama2
---
This is the **Full-Weight** of WizardLM-13B V1.2 model, this model is trained from **Llama-2 13b**.
## WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions
<p align="center">
🤗 <a href="https://huggingface.co/WizardLM" target="_blank">HF Repo</a> •🐱 <a hre... | 9,597 | [
[
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kakaobrain/align-base | 2023-03-08T11:02:27.000Z | [
"transformers",
"pytorch",
"align",
"zero-shot-image-classification",
"vision",
"multi-modal",
"en",
"dataset:coyo-700m",
"arxiv:2102.05918",
"endpoints_compatible",
"has_space",
"region:us"
] | zero-shot-image-classification | kakaobrain | null | null | kakaobrain/align-base | 15 | 15,569 | transformers | 2023-02-24T15:23:00 | ---
language: en
tags:
- align
- vision
- multi-modal
datasets:
- coyo-700m
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png
candidate_labels: playing music, playing sports
example_title: Cat & Dog
---
# ALIGN (base model)
The [ALIGN](https://arxiv.org/abs/2102.05... | 6,900 | [
[
-0.0280914306640625,
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0.01348876953125,
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-0.037384033203125,
-0.041717529296875,
-0.046478271484375,
... |
jplu/tf-xlm-roberta-base | 2020-12-11T21:48:00.000Z | [
"transformers",
"tf",
"xlm-roberta",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | jplu | null | null | jplu/tf-xlm-roberta-base | 1 | 15,551 | transformers | 2022-03-02T23:29:05 | # Tensorflow XLM-RoBERTa
In this repository you will find different versions of the XLM-RoBERTa model for Tensorflow.
## XLM-RoBERTa
[XLM-RoBERTa](https://ai.facebook.com/blog/-xlm-r-state-of-the-art-cross-lingual-understanding-through-self-supervision/) is a scaled cross lingual sentence encoder. It is trained on 2... | 1,693 | [
[
-0.0418701171875,
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-0.053466796875,
-0.03814697265625,
-0.072265625,
0.01991271... |
digiplay/majicMIX_realistic_v6 | 2023-08-03T22:18:24.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | digiplay | null | null | digiplay/majicMIX_realistic_v6 | 33 | 15,546 | diffusers | 2023-06-12T21:16:15 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/43331?modelVersionId=94640
| 193 | [
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... |
sentence-transformers/stsb-mpnet-base-v2 | 2021-08-05T08:31:17.000Z | [
"sentence-transformers",
"pytorch",
"mpnet",
"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/stsb-mpnet-base-v2 | 11 | 15,539 | 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/stsb-mpnet-base-v2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vec... | 3,668 | [
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osiria/bert-italian-cased-ner | 2023-06-20T22:30:14.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"token-classification",
"it",
"arxiv:1810.04805",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | osiria | null | null | osiria/bert-italian-cased-ner | 2 | 15,535 | transformers | 2023-06-03T00:17:44 | ---
license: apache-2.0
language:
- it
widget:
- text: "Mi chiamo Marco Rossi, vivo a Roma e lavoro per l'Agenzia Spaziale Italiana"
example_title: "Example 1"
---
--------------------------------------------------------------------------------------------------
<body>
<span class="vertical-text" style="background-... | 4,632 | [
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0... |
tiiuae/falcon-180B | 2023-09-06T13:04:38.000Z | [
"transformers",
"safetensors",
"falcon",
"text-generation",
"en",
"de",
"es",
"fr",
"dataset:tiiuae/falcon-refinedweb",
"arxiv:1911.02150",
"arxiv:2101.00027",
"arxiv:2005.14165",
"arxiv:2104.09864",
"arxiv:2205.14135",
"arxiv:2306.01116",
"license:unknown",
"has_space",
"text-gene... | text-generation | tiiuae | null | null | tiiuae/falcon-180B | 883 | 15,514 | transformers | 2023-08-28T23:28:49 | ---
datasets:
- tiiuae/falcon-refinedweb
language:
- en
- de
- es
- fr
inference: false
license: unknown
extra_gated_heading: "Acknowledge license to access the repository"
extra_gated_prompt: "You agree to the [Falcon-180B TII license](https://huggingface.co/spaces/tiiuae/falcon-180b-license/blob/main/LICENSE.txt) and... | 11,491 | [
[
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0.0... |
cross-encoder/nli-deberta-v3-base | 2021-12-27T22:26:49.000Z | [
"transformers",
"pytorch",
"deberta-v2",
"text-classification",
"microsoft/deberta-v3-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-deberta-v3-base | 11 | 15,434 | transformers | 2022-03-02T23:29:05 | ---
language: en
pipeline_tag: zero-shot-classification
tags:
- microsoft/deberta-v3-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/... | 2,777 | [
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0.013336181640625,
0.0322265625,
-0.038604736328125,
-0.03826904296875,
-0.045166015625,
... |
maywell/Synatra-V0.1-7B-Instruct | 2023-10-30T00:13:44.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"ko",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | maywell | null | null | maywell/Synatra-V0.1-7B-Instruct | 12 | 15,394 | transformers | 2023-10-09T01:52:53 | ---
language:
- ko
library_name: transformers
pipeline_tag: text-generation
license: cc-by-nc-4.0
---
# **V0.3 IS UP**
[Link to V0.3](https://huggingface.co/maywell/Synatra-7B-v0.3-base)
# **Synatra-V0.1-7B**
Made by StableFluffy
[Visit my website! - Currently on consturction..](https://www.stablefluffy.kr/)
... | 3,866 | [
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monologg/koelectra-base-v3-discriminator | 2021-10-20T16:53:40.000Z | [
"transformers",
"pytorch",
"electra",
"pretraining",
"korean",
"ko",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | monologg | null | null | monologg/koelectra-base-v3-discriminator | 20 | 15,372 | transformers | 2022-03-02T23:29:05 | ---
language: ko
license: apache-2.0
tags:
- korean
---
# KoELECTRA v3 (Base Discriminator)
Pretrained ELECTRA Language Model for Korean (`koelectra-base-v3-discriminator`)
For more detail, please see [original repository](https://github.com/monologg/KoELECTRA/blob/master/README_EN.md).
## Usage
### Load model a... | 1,751 | [
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0.024... |
DeepFloyd/IF-I-L-v1.0 | 2023-06-02T19:04:26.000Z | [
"diffusers",
"pytorch",
"if",
"text-to-image",
"arxiv:2205.11487",
"arxiv:2110.02861",
"license:deepfloyd-if-license",
"diffusers:IFPipeline",
"region:us"
] | text-to-image | DeepFloyd | null | null | DeepFloyd/IF-I-L-v1.0 | 15 | 15,369 | diffusers | 2023-03-21T19:01:41 | ---
license: deepfloyd-if-license
extra_gated_prompt: "DeepFloyd LICENSE AGREEMENT\nThis License Agreement (as may be amended in accordance with this License Agreement, “License”), between you, or your employer or other entity (if you are entering into this agreement on behalf of your employer or other entity) (“Licens... | 23,609 | [
[
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0.022247314453125,
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-0.0145950... |
kuelumbus/polyBERT | 2023-07-18T18:47:54.000Z | [
"sentence-transformers",
"pytorch",
"deberta-v2",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | sentence-similarity | kuelumbus | null | null | kuelumbus/polyBERT | 3 | 15,366 | sentence-transformers | 2022-09-15T13:54:32 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
widget:
- source_sentence: "[*]CC[*]"
sentences:
- "[*]COC[*]"
- "[*]CC(C)C[*]"
---
# kuelumbus/polyBERT
This is polyBERT: A chemical language model to enable fully machine-driven u... | 3,121 | [
[
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0.03790283203125,
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0.023834228515625,
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-0.032562255859375,
-0.0604248046875,
-... |
xiaolxl/GuoFeng3 | 2023-10-28T08:16:21.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | xiaolxl | null | null | xiaolxl/GuoFeng3 | 458 | 15,364 | diffusers | 2023-01-28T11:29:27 | ---
license: cc-by-nc-sa-4.0
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
---
<img src=https://huggingface.co/xiaolxl/GuoFeng3/resolve/main/examples/cover.png>
# 基于SDXL的国风4已发布！- GuoFeng4 based on SDXL has been released! : https://huggingface.... | 8,063 | [
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0.01150512... |
bookbot/wav2vec2-ljspeech-gruut | 2023-04-05T02:27:23.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"phoneme-recognition",
"generated_from_trainer",
"en",
"dataset:w11wo/ljspeech_phonemes",
"arxiv:2006.11477",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | bookbot | null | null | bookbot/wav2vec2-ljspeech-gruut | 5 | 15,357 | transformers | 2023-01-09T01:22:52 | ---
language: en
license: apache-2.0
tags:
- phoneme-recognition
- generated_from_trainer
datasets:
- w11wo/ljspeech_phonemes
model-index:
- name: Wav2Vec2 LJSpeech Gruut
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
... | 7,299 | [
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-0... |
sentence-transformers/stsb-roberta-base | 2022-06-15T20:36:10.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"roberta",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/stsb-roberta-base | 0 | 15,332 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
**⚠️ This model is deprecated. Please don't use it as it produces sentence embeddings of low quality. You can find recommended sentence embedding models here: [SBERT.net... | 3,911 | [
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... |
google/ddpm-cifar10-32 | 2023-08-03T07:24:08.000Z | [
"diffusers",
"pytorch",
"unconditional-image-generation",
"arxiv:2006.11239",
"license:apache-2.0",
"has_space",
"diffusers:DDPMPipeline",
"region:us"
] | unconditional-image-generation | google | null | null | google/ddpm-cifar10-32 | 38 | 15,321 | diffusers | 2022-06-16T12:53:22 | ---
license: apache-2.0
tags:
- pytorch
- diffusers
- unconditional-image-generation
---
# Denoising Diffusion Probabilistic Models (DDPM)
**Paper**: [Denoising Diffusion Probabilistic Models](https://arxiv.org/abs/2006.11239)
**Authors**: Jonathan Ho, Ajay Jain, Pieter Abbeel
**Abstract**:
*We present high qualit... | 2,977 | [
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-0.0135... |
TheBloke/Wizard-Vicuna-13B-Uncensored-SuperHOT-8K-GPTQ | 2023-08-21T14:48:15.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"custom_code",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Wizard-Vicuna-13B-Uncensored-SuperHOT-8K-GPTQ | 96 | 15,250 | transformers | 2023-06-27T03:55:57 | ---
inference: false
license: other
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-cont... | 12,071 | [
[
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0.00920... |
zhihan1996/DNABERT-2-117M | 2023-10-30T19:27:14.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"biology",
"medical",
"custom_code",
"arxiv:2306.15006",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | zhihan1996 | null | null | zhihan1996/DNABERT-2-117M | 12 | 15,213 | transformers | 2023-06-26T07:14:58 | ---
metrics:
- matthews_correlation
- f1
tags:
- biology
- medical
---
This is the official pre-trained model introduced in [DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome
](https://arxiv.org/pdf/2306.15006.pdf).
DNABERT-2 is a transformer-based genome foundation model trained on multi-sp... | 1,129 | [
[
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0.0244903564453125,
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-0.060302734375... |
facebook/nllb-200-3.3B | 2023-02-11T20:19:13.000Z | [
"transformers",
"pytorch",
"m2m_100",
"text2text-generation",
"nllb",
"translation",
"ace",
"acm",
"acq",
"aeb",
"af",
"ajp",
"ak",
"als",
"am",
"apc",
"ar",
"ars",
"ary",
"arz",
"as",
"ast",
"awa",
"ayr",
"azb",
"azj",
"ba",
"bm",
"ban",
"be",
"bem",
"b... | translation | facebook | null | null | facebook/nllb-200-3.3B | 127 | 15,175 | transformers | 2022-07-08T10:06:00 | ---
language:
- ace
- acm
- acq
- aeb
- af
- ajp
- ak
- als
- am
- apc
- ar
- ars
- ary
- arz
- as
- ast
- awa
- ayr
- azb
- azj
- ba
- bm
- ban
- be
- bem
- bn
- bho
- bjn
- bo
- bs
- bug
- bg
- ca
- ceb
- cs
- cjk
- ckb
- crh
- cy
- da
- de
- dik
- dyu
- dz
- el
- en
- eo
- et
- eu
- ee
- fo
- fj
- fi
- fon
- fr
- fu... | 7,630 | [
[
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0.056610107421875,
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... |
facebook/wav2vec2-base-100k-voxpopuli | 2021-11-05T12:46:12.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"pretraining",
"audio",
"automatic-speech-recognition",
"voxpopuli",
"multilingual",
"arxiv:2101.00390",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | facebook | null | null | facebook/wav2vec2-base-100k-voxpopuli | 1 | 15,104 | transformers | 2022-03-02T23:29:05 | ---
language: multilingual
tags:
- audio
- automatic-speech-recognition
- voxpopuli
license: cc-by-nc-4.0
---
# Wav2Vec2-Base-VoxPopuli
[Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/) base model pretrained on the 100k unlabeled subset of [VoxPopuli corpu... | 1,419 | [
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pfnet/plamo-13b | 2023-10-10T06:24:54.000Z | [
"transformers",
"safetensors",
"plamo",
"text-generation",
"custom_code",
"en",
"ja",
"license:apache-2.0",
"region:us"
] | text-generation | pfnet | null | null | pfnet/plamo-13b | 72 | 15,102 | transformers | 2023-09-25T12:47:05 | ---
language:
- en
- ja
license: apache-2.0
library_name: transformers
pipeline_tag: text-generation
---
# PLaMo-13B
## Model Description
PLaMo-13B is a LLaMA-based 13B model pre-trained on English and Japanese open datasets, developed by Preferred Networks, Inc.
PLaMo-13B is released under Apache v2.0 license.
[PLa... | 3,274 | [
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... |
facebook/detr-resnet-50-panoptic | 2022-08-05T13:29:29.000Z | [
"transformers",
"pytorch",
"detr",
"image-segmentation",
"vision",
"dataset:coco",
"arxiv:2005.12872",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | image-segmentation | facebook | null | null | facebook/detr-resnet-50-panoptic | 96 | 15,090 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- image-segmentation
- vision
datasets:
- coco
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/football-match.jpg
example_title: Football Match
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/dog-cat.jpg
example_title: Dog & Cat... | 5,851 | [
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-0.0096893310546875,
-0.00858306884765625,
-0.059234619140625,
0.021209716796875,
0.042755126953125,
-0.0479736328125,
-0.036376953125,
-0.042022705078125,
0.0197... |
BM-K/KoSimCSE-roberta-multitask | 2023-03-24T00:48:07.000Z | [
"transformers",
"pytorch",
"safetensors",
"roberta",
"feature-extraction",
"korean",
"ko",
"endpoints_compatible",
"region:us"
] | feature-extraction | BM-K | null | null | BM-K/KoSimCSE-roberta-multitask | 4 | 15,089 | transformers | 2022-06-01T15:02:22 | ---
language: ko
tags:
- korean
---
https://github.com/BM-K/Sentence-Embedding-is-all-you-need
# Korean-Sentence-Embedding
🍭 Korean sentence embedding repository. You can download the pre-trained models and inference right away, also it provides environments where individuals can train models.
## Quick tour
```py... | 2,592 | [
[
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0.03558349609375,
0.022186279296875,
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0.0283050537109375,
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-0.0548095703125,
-0.0474853515625,
0.00635... |
Intel/distilbert-base-uncased-finetuned-sst-2-english-int8-static | 2023-06-27T08:21:13.000Z | [
"transformers",
"pytorch",
"onnx",
"distilbert",
"text-classification",
"text-classfication",
"int8",
"neural-compressor",
"Intel® Neural Compressor",
"PostTrainingStatic",
"en",
"dataset:sst2",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | Intel | null | null | Intel/distilbert-base-uncased-finetuned-sst-2-english-int8-static | 2 | 15,029 | transformers | 2022-03-29T05:04:36 | ---
language: en
license: apache-2.0
tags:
- text-classfication
- int8
- neural-compressor
- Intel® Neural Compressor
- PostTrainingStatic
datasets:
- sst2
model-index:
- name: distilbert-base-uncased-finetuned-sst-2-english-int8-static
results:
- task:
type: sentiment-classification
name: Sentiment Cla... | 6,272 | [
[
-0.023834228515625,
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laion/clap-htsat-fused | 2023-04-24T14:40:12.000Z | [
"transformers",
"pytorch",
"clap",
"feature-extraction",
"arxiv:2211.06687",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | laion | null | null | laion/clap-htsat-fused | 10 | 15,019 | transformers | 2023-02-16T20:45:11 | ---
license: apache-2.0
---
# Model card for CLAP
Model card for CLAP: Contrastive Language-Audio Pretraining
# Table of Contents
0. [TL;DR](#TL;DR)
1. [Model Details](#model-details)
2. [Usage](#usage)
3.... | 4,444 | [
[
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... |
TheBloke/Airoboros-L2-70B-3.1.2-AWQ | 2023-10-22T11:48:29.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"dataset:jondurbin/airoboros-3.1",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Airoboros-L2-70B-3.1.2-AWQ | 1 | 15,005 | transformers | 2023-10-21T12:11:56 | ---
base_model: jondurbin/airoboros-l2-70b-3.1.2
datasets:
- jondurbin/airoboros-3.1
inference: false
license: llama2
model_creator: Jon Durbin
model_name: Airoboros L2 70B 3.1.2
model_type: llama
prompt_template: '[INST] <<SYS>>
You are a helpful, unbiased, uncensored assistant.
<</SYS>>
{prompt} [/INST]
... | 38,018 | [
[
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-0.049957275390625,
-0.0323486328125,
-0.025283813476562... |
Helsinki-NLP/opus-mt-hi-en | 2023-08-16T11:57:38.000Z | [
"transformers",
"pytorch",
"tf",
"rust",
"marian",
"text2text-generation",
"translation",
"hi",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-hi-en | 6 | 15,002 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-hi-en
* source languages: hi
* target languages: en
* OPUS readme: [hi-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hi-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 901 | [
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0.00563812255859375,
0.040771484375,
-0.04791259765625,
-0.040863037109375,
-0.04290771484375,
0.01... |
microsoft/codebert-base-mlm | 2023-01-09T11:37:56.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"roberta",
"fill-mask",
"arxiv:2002.08155",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | microsoft | null | null | microsoft/codebert-base-mlm | 29 | 14,975 | transformers | 2022-03-02T23:29:05 | ## CodeBERT-base-mlm
Pretrained weights for [CodeBERT: A Pre-Trained Model for Programming and Natural Languages](https://arxiv.org/abs/2002.08155).
### Training Data
The model is trained on the code corpus of [CodeSearchNet](https://github.com/github/CodeSearchNet)
### Training Objective
This model is initialized wi... | 2,005 | [
[
-0.01088714599609375,
-0.0226287841796875,
0.005977630615234375,
0.034027099609375,
0.0034503936767578125,
0.00946807861328125,
-0.030975341796875,
-0.00571441650390625,
0.0191497802734375,
0.02947998046875,
-0.032928466796875,
-0.059783935546875,
-0.05499267578... |
timm/tf_efficientnetv2_s.in21k | 2023-04-27T22:17:52.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-21k",
"arxiv:2104.00298",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnetv2_s.in21k | 2 | 14,966 | timm | 2022-12-13T00:18:57 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-21k
---
# Model card for tf_efficientnetv2_s.in21k
A EfficientNet-v2 image classification model. Trained on ImageNet-21k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model T... | 4,076 | [
[
-0.0269012451171875,
-0.033477783203125,
-0.004302978515625,
0.00756072998046875,
-0.022918701171875,
-0.029541015625,
-0.0212554931640625,
-0.029541015625,
0.011688232421875,
0.02935791015625,
-0.0237579345703125,
-0.0457763671875,
-0.054168701171875,
-0.01... |
Yntec/realistic-vision-v12 | 2023-10-08T15:52:18.000Z | [
"diffusers",
"Photorealistic",
"Realistic",
"Semi-Realistic",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"SG_161222",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/realistic-vision-v12 | 8 | 14,944 | diffusers | 2023-08-16T20:02:32 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Photorealistic
- Realistic
- Semi-Realistic
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- SG_161222
---
# Realistic Vision 1.2
Samples and prompts:
![Sample](https://cdn-uploads.huggingface.... | 649 | [
[
-0.048828125,
-0.06085205078125,
0.0253753662109375,
0.0278167724609375,
-0.040924072265625,
-0.0261077880859375,
0.0210113525390625,
-0.031982421875,
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0.062286376953125,
-0.069091796875,
-0.0283355712890625,
-0.0408935546875,
0.00392913818... |
google/tapas-tiny-finetuned-wtq | 2021-11-29T10:45:11.000Z | [
"transformers",
"pytorch",
"tf",
"tapas",
"table-question-answering",
"en",
"dataset:wtq",
"arxiv:2004.02349",
"arxiv:2010.00571",
"arxiv:1508.00305",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | table-question-answering | google | null | null | google/tapas-tiny-finetuned-wtq | 0 | 14,929 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- tapas
- table-question-answering
license: apache-2.0
datasets:
- wtq
---
# TAPAS tiny model fine-tuned on WikiTable Questions (WTQ)
This model has 2 versions which can be used. The default version corresponds to the `tapas_wtq_wikisql_sqa_inter_masklm_tiny_reset` checkpoint of the [original G... | 7,203 | [
[
-0.04705810546875,
-0.054595947265625,
0.019256591796875,
0.02099609375,
-0.032318115234375,
-0.009979248046875,
-0.00390625,
-0.04052734375,
0.049285888671875,
0.0240020751953125,
-0.04217529296875,
-0.02960205078125,
-0.03240966796875,
0.001026153564453125... |
sschet/biobert_diseases_ner | 2023-02-01T03:40:32.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"NER",
"Biomedical",
"Diseases",
"en",
"dataset:BC5CDR-diseases",
"dataset:ncbi_disease",
"dataset:tner/bc5cdr",
"dataset:commanderstrife/jnlpba",
"dataset:bc2gm_corpus",
"dataset:drAbreu/bc4chemd_ner",
"dataset:linnaeus",
"dat... | token-classification | sschet | null | null | sschet/biobert_diseases_ner | 1 | 14,891 | transformers | 2023-02-01T00:59:17 | ---
language: "en"
license: apache-2.0
tags:
- token-classification
- NER
- Biomedical
- Diseases
datasets:
- BC5CDR-diseases
- ncbi_disease
- tner/bc5cdr
- commanderstrife/jnlpba
- bc2gm_corpus
- drAbreu/bc4chemd_ner
- linnaeus
- chintagunta85/ncbi_disease
---
BioBERT model fine-tuned in NER task with BC5CDR-diseases ... | 469 | [
[
-0.02239990234375,
-0.038330078125,
0.03826904296875,
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0.0160064697265625,
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0.037994384765625,
0.041748046875,
-0.039306640625,
-0.06121826171875,
-0.0290985107421875,
0.036163... |
BAAI/bge-large-zh-v1.5 | 2023-10-12T03:34:16.000Z | [
"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-large-zh-v1.5 | 73 | 14,840 | transformers | 2023-09-12T05:22:11 | ---
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... |
timm/resnet50d.ra2_in1k | 2023-04-05T18:18:24.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2110.00476",
"arxiv:1512.03385",
"arxiv:1812.01187",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resnet50d.ra2_in1k | 0 | 14,819 | timm | 2023-04-05T18:18:03 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for resnet50d.ra2_in1k
A ResNet-D image classification model.
This model features:
* ReLU activations
* 3-layer stem of 3x3 convolutions with pooling
* 2x2 average pool + 1x1 convolution shortcut downsample
Trained on I... | 39,089 | [
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0.0223236083984375,
-0.049102783203125,
-0.040191650390625,
-0.0474853515625,
... |
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