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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
bigscience/bloomz-7b1-mt | 2023-07-25T11:12:38.000Z | [
"transformers",
"pytorch",
"tensorboard",
"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/bloomz-7b1-mt | 121 | 9,070 | transformers | 2022-09-28T11:57:09 | ---
datasets:
- bigscience/xP3mt
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
program... | 24,206 | [
[
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-0.039947509765625,
-0.040679931640625,
0... |
Xwin-LM/Xwin-LM-13B-V0.1 | 2023-09-21T05:42:20.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Xwin-LM | null | null | Xwin-LM/Xwin-LM-13B-V0.1 | 57 | 9,063 | transformers | 2023-09-15T14:03:35 | ---
license: llama2
---
<h3 align="center">
Xwin-LM: Powerful, Stable, and Reproducible LLM Alignment
</h3>
<p align="center">
<a href="https://github.com/Xwin-LM/Xwin-LM">
<img src="https://img.shields.io/badge/GitHub-yellow.svg?style=social&logo=github">
</a>
<a href="https://huggingface.co/Xwin-LM">
... | 9,826 | [
[
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0.018524169921875,
-0.057403564453125,
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-0.059356689453125,... |
philschmid/pyannote-segmentation | 2022-11-08T17:15:47.000Z | [
"pyannote-audio",
"pytorch",
"pyannote",
"pyannote-audio-model",
"audio",
"voice",
"speech",
"speaker",
"speaker-segmentation",
"voice-activity-detection",
"overlapped-speech-detection",
"resegmentation",
"dataset:ami",
"dataset:dihard",
"dataset:voxconverse",
"arxiv:2104.04045",
"li... | voice-activity-detection | philschmid | null | null | philschmid/pyannote-segmentation | 4 | 9,055 | pyannote-audio | 2022-11-08T17:13:14 | ---
tags:
- pyannote
- pyannote-audio
- pyannote-audio-model
- audio
- voice
- speech
- speaker
- speaker-segmentation
- voice-activity-detection
- overlapped-speech-detection
- resegmentation
datasets:
- ami
- dihard
- voxconverse
license: mit
inference: false
---
# 🎹 Speaker segmentation
M... | 5,286 | [
[
-0.04730224609375,
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0.019378662109375,
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0.023193359375,
-0.045135498046875,
-0.0426025390625,
-0.0236358642578125,
-0.02... |
sentence-transformers/sentence-t5-large | 2022-02-09T14:01:09.000Z | [
"sentence-transformers",
"pytorch",
"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-large | 14 | 9,023 | 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-large
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a ... | 2,020 | [
[
-0.0093231201171875,
-0.04937744140625,
0.044830322265625,
0.024810791015625,
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0.039520263671875,
-0.03521728515625,
-0.043975830078125,
-0.06170654296875,
0... |
ylacombe/bark-small | 2023-07-18T08:11:24.000Z | [
"transformers",
"pytorch",
"bark",
"text-to-audio",
"audio",
"text-to-speech",
"en",
"de",
"es",
"fr",
"hi",
"it",
"ja",
"ko",
"pl",
"pt",
"ru",
"tr",
"zh",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | text-to-speech | ylacombe | null | null | ylacombe/bark-small | 0 | 9,015 | transformers | 2023-06-16T07:15:23 | ---
language:
- en
- de
- es
- fr
- hi
- it
- ja
- ko
- pl
- pt
- ru
- tr
- zh
thumbnail: https://user-images.githubusercontent.com/5068315/230698495-cbb1ced9-c911-4c9a-941d-a1a4a1286ac6.png
library: "bark"
license: "cc-by-nc-4.0"
tags:
- bark
- audio
- text-to-speech
---
# Bark
Bark is a t... | 6,069 | [
[
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0.01666259765625,
-0.050201416015625,
-0.05450439453125,
-0.0281829833984375,
-0... |
warp-ai/wuerstchen-prior | 2023-09-18T07:01:28.000Z | [
"diffusers",
"arxiv:2306.00637",
"arxiv:1910.09700",
"license:mit",
"has_space",
"diffusers:WuerstchenPriorPipeline",
"region:us"
] | null | warp-ai | null | null | warp-ai/wuerstchen-prior | 14 | 9,001 | diffusers | 2023-07-19T19:09:44 | ---
license: mit
---
<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 in a highly compressed latent space of images. Why is this important? Compress... | 5,295 | [
[
-0.039398193359375,
-0.044036865234375,
0.0323486328125,
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0.0184478759765625,
-0.0435791015625,
-0.035675048828125,
-0.052215576171875,
... |
stablediffusionapi/sdxl-unstable-diffusers-y | 2023-10-08T07:28:58.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us",
"has_space"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/sdxl-unstable-diffusers-y | 2 | 8,994 | diffusers | 2023-10-08T07:26:48 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# SDXL Unstable Diffusers ☛ YamerMIX V8 API Inference
![generated from stablediffusionapi.com](https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/18141439221... | 2,584 | [
[
-0.04083251953125,
-0.056304931640625,
0.037567138671875,
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-0.0555419921875,
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qanastek/51-languages-classifier | 2022-05-19T12:56:56.000Z | [
"transformers",
"pytorch",
"Transformers",
"text-classification",
"multi-class-classification",
"dataset:qanastek/MASSIVE",
"arxiv:1911.02116",
"license:cc-by-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | qanastek | null | null | qanastek/51-languages-classifier | 20 | 8,982 | transformers | 2022-05-06T07:43:20 | ---
tags:
- Transformers
- text-classification
- multi-class-classification
languages:
- af-ZA
- am-ET
- ar-SA
- az-AZ
- bn-BD
- cy-GB
- da-DK
- de-DE
- el-GR
- en-US
- es-ES
- fa-IR
- fi-FI
- fr-FR
- he-IL
- hi-IN
- hu-HU
- hy-AM
- id-ID
- is-IS
- it-IT
- ja-JP
- jv-ID
- ka-GE
- km-KH
- kn-IN
- ko-KR
- lv-LV
- ml-IN
-... | 7,528 | [
[
-0.043609619140625,
-0.02532958984375,
0.0126953125,
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0.043212890625,
0.011932373046875,
-0.032073974609375,
-0.0537109375,
-0.045196533203125,
0.024398803... |
LeoLM/leo-hessianai-13b | 2023-09-29T10:34:48.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"custom_code",
"en",
"de",
"dataset:oscar-corpus/OSCAR-2301",
"dataset:wikipedia",
"dataset:bjoernp/tagesschau-2018-2023",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LeoLM | null | null | LeoLM/leo-hessianai-13b | 22 | 8,976 | transformers | 2023-09-05T22:47:48 | ---
datasets:
- oscar-corpus/OSCAR-2301
- wikipedia
- bjoernp/tagesschau-2018-2023
language:
- en
- de
library_name: transformers
pipeline_tag: text-generation
---
# LAION LeoLM: **L**inguistically **E**nhanced **O**pen **L**anguage **M**odel
Meet LeoLM, the first open and commercially available German Foundation Langu... | 2,589 | [
[
-0.01511383056640625,
-0.0467529296875,
0.0135345458984375,
0.04266357421875,
-0.028228759765625,
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0.00647735595703125,
0.03076171875,
-0.039398193359375,
-0.0285491943359375,
-0.053985595703125,
-0.0... |
marefa-nlp/marefa-ner | 2021-12-04T05:21:57.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"token-classification",
"ar",
"dataset:Marefa-NER",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | marefa-nlp | null | null | marefa-nlp/marefa-ner | 13 | 8,975 | transformers | 2022-03-02T23:29:05 |
---
language: ar
datasets:
- Marefa-NER
widget:
- text: "في استاد القاهرة، بدأ حفل افتتاح بطولة كأس الأمم الأفريقية بحضور رئيس الجمهورية و رئيس الاتحاد الدولي لكرة القدم"
---
# Tebyan تبيـان
## Marefa Arabic Named Entity Recognition Model
## نموذج المعرفة لتصنيف أجزاء النص
<p align="center">
<img src="... | 8,064 | [
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... |
sasha/regardv3 | 2022-08-17T18:03:37.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"license:cc-by-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | sasha | null | null | sasha/regardv3 | 0 | 8,954 | transformers | 2022-08-17T16:58:42 | ---
license: cc-by-4.0
---
# BERT Regard classification model
This model is the result of a project entitled [Towards Controllable Biases in Language Generation](https://github.com/ewsheng/controllable-nlg-biases). It consists of a BERT classifier (no ensemble) trained on 1.7K samples of biased language.
*Regard* ... | 769 | [
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0.030242919921875,
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... |
h2oai/h2ogpt-oig-oasst1-512-6_9b | 2023-06-02T22:20:22.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"gpt",
"llm",
"large language model",
"open-source",
"en",
"dataset:h2oai/h2ogpt-oig-oasst1-instruct-cleaned-v1",
"dataset:h2oai/openassistant_oasst1_h2ogpt",
"dataset:h2oai/h2ogpt-fortune2000-personalized",
"dataset:h2oai/h2ogpt-oig-... | text-generation | h2oai | null | null | h2oai/h2ogpt-oig-oasst1-512-6_9b | 16 | 8,927 | transformers | 2023-04-18T06:13:02 | ---
license: apache-2.0
language:
- en
library_name: transformers
inference: false
thumbnail: https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico
tags:
- gpt
- llm
- large language model
- open-source
datasets:
- h2oai/h2ogpt-oig-oasst1-instruct-cleaned-v1
- h2oai/openassistant_oass... | 8,643 | [
[
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0.024688720703125,
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-0.040618896484375,
-0.048065185546875,
-0.01343536... |
facebook/mask2former-swin-large-coco-panoptic | 2023-02-07T12:46:36.000Z | [
"transformers",
"pytorch",
"mask2former",
"vision",
"image-segmentation",
"dataset:coco",
"arxiv:2112.01527",
"arxiv:2107.06278",
"license:other",
"endpoints_compatible",
"has_space",
"region:us"
] | image-segmentation | facebook | null | null | facebook/mask2former-swin-large-coco-panoptic | 14 | 8,912 | transformers | 2023-01-02T16:24:12 | ---
license: other
tags:
- vision
- image-segmentation
datasets:
- coco
widget:
- src: http://images.cocodataset.org/val2017/000000039769.jpg
example_title: Cats
---
# Mask2Former
Mask2Former model trained on COCO panoptic segmentation (large-sized version, Swin backbone). It was introduced in the paper [Masked-att... | 3,107 | [
[
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0.0496826171875,
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-0.0191192626953125,
-0.062744140625,
-0.02357482... |
Uminosachi/realisticVisionV40_v40VAE-inpainting | 2023-08-01T01:07:08.000Z | [
"diffusers",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | Uminosachi | null | null | Uminosachi/realisticVisionV40_v40VAE-inpainting | 0 | 8,906 | diffusers | 2023-08-01T00:55:06 | ---
license: creativeml-openrail-m
---
This is an inpainting model, which has been converted from the [realisticVisionV40_v40VAE-inpainting](https://civitai.com/models/4201?modelVersionId=114600). | 196 | [
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Ojimi/anime-kawai-diffusion | 2023-07-14T11:39:06.000Z | [
"diffusers",
"text-to-image",
"anime",
"pytorch",
"art",
"stable diffusion",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Ojimi | null | null | Ojimi/anime-kawai-diffusion | 116 | 8,898 | diffusers | 2023-02-09T15:30:12 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- text-to-image
- anime
- pytorch
- diffusers
- art
- stable diffusion
---
## Introduction:
- I don't know how to introduce it, but it's been renamed several times. It is an open, free t... | 4,334 | [
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Yntec/mistoonAnime2 | 2023-10-05T19:14:03.000Z | [
"diffusers",
"Anime",
"Cartoon",
"Colorful",
"Inzaniak",
"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/mistoonAnime2 | 2 | 8,897 | diffusers | 2023-10-05T13:09:06 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Cartoon
- Colorful
- Inzaniak
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
---
Original page: https://civitai.com/models/24149?modelVersionId=108545
Comparison:
![Comp... | 867 | [
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0.001... |
stablediffusionapi/rev-animated | 2023-05-26T13:50:00.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/rev-animated | 6 | 8,888 | diffusers | 2023-02-15T20:51:16 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# ReV Animated API Inference
## Get API ... | 2,465 | [
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deepset/roberta-large-squad2 | 2023-09-27T12:27:59.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"roberta",
"question-answering",
"en",
"dataset:squad_v2",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | deepset | null | null | deepset/roberta-large-squad2 | 17 | 8,886 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: cc-by-4.0
datasets:
- squad_v2
base_model: roberta-large
model-index:
- name: deepset/roberta-large-squad2
results:
- task:
type: question-answering
name: Question Answering
dataset:
name: squad_v2
type: squad_v2
config: squad_v2
split: validation
... | 6,960 | [
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lidiya/bart-large-xsum-samsum | 2023-03-16T22:44:01.000Z | [
"transformers",
"pytorch",
"safetensors",
"bart",
"text2text-generation",
"seq2seq",
"summarization",
"en",
"dataset:samsum",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | summarization | lidiya | null | null | lidiya/bart-large-xsum-samsum | 34 | 8,886 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- bart
- seq2seq
- summarization
license: apache-2.0
datasets:
- samsum
widget:
- text: |
Hannah: Hey, do you have Betty's number?
Amanda: Lemme check
Amanda: Sorry, can't find it.
Amanda: Ask Larry
Amanda: He called her last time we were at the park together
Hannah: I do... | 2,427 | [
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Yukang/Llama-2-13b-longlora-32k-ft | 2023-09-25T12:36:06.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2309.12307",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Yukang | null | null | Yukang/Llama-2-13b-longlora-32k-ft | 4 | 8,833 | transformers | 2023-09-12T10:59:44 | # LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
<font size=6><div align='center' > <a href=http://arxiv.org/abs/2309.12307>**Paper**</a> | <a href="https://huggingface.co/Yukang">**Models**</a> | <a href="https://github.com/dvlab-research/LongLoRA">**Code**</a> </div></font>
**LongLoRA: Effici... | 7,594 | [
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0.0... |
tbs17/MathBERT | 2021-08-05T00:44:29.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | tbs17 | null | null | tbs17/MathBERT | 5 | 8,831 | transformers | 2022-03-02T23:29:05 | #### MathBERT model (original vocab)
*Disclaimer: the format of the documentation follows the official BERT model readme.md*
Pretrained model on pre-k to graduate math language (English) using a masked language modeling (MLM) objective. This model is uncased: it does not make a difference between english and English.... | 9,899 | [
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timm/mobilenetv2_050.lamb_in1k | 2023-04-27T21:14:09.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:1801.04381",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/mobilenetv2_050.lamb_in1k | 0 | 8,829 | timm | 2022-12-13T00:00:19 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for mobilenetv2_050.lamb_in1k
A MobileNet-v2 image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* A LAMB optimizer recipe that is si... | 4,382 | [
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theainerd/Wav2Vec2-large-xlsr-hindi | 2023-05-31T18:52:14.000Z | [
"transformers",
"pytorch",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"hi",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | theainerd | null | null | theainerd/Wav2Vec2-large-xlsr-hindi | 4 | 8,825 | transformers | 2022-03-02T23:29:05 | ---
language:
- hi
---
# Wav2Vec2-Large-XLSR-53-hindi
Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) hindi using the [Multilingual and code-switching ASR challenges for low resource Indian languages](https://navana-tech.github.io/IS21SS-indicASRchallenge/data.html... | 3,455 | [
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0.014892578125,
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-0.031402587890625,
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... |
nitrosocke/redshift-diffusion-768 | 2022-12-03T19:45:08.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"en",
"license:openrail++",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | nitrosocke | null | null | nitrosocke/redshift-diffusion-768 | 141 | 8,818 | diffusers | 2022-11-27T13:46:46 | ---
license: openrail++
language:
- en
tags:
- stable-diffusion
- text-to-image
- diffusers
thumbnail: "https://huggingface.co/nitrosocke/redshift-diffusion-768/resolve/main/images/redshift-diffusion-768-thumbnail.jpg"
inference: false
---
### Future Diffusion
This is the fine-tuned Stable Diffusion 2.0 model trained... | 2,840 | [
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akreal/tiny-random-t5 | 2021-08-18T15:08:13.000Z | [
"transformers",
"pytorch",
"tf",
"t5",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | akreal | null | null | akreal/tiny-random-t5 | 0 | 8,806 | transformers | 2022-03-02T23:29:05 | This is a copy of: https://huggingface.co/hf-internal-testing/tiny-random-t5
Changes: use old format for `pytorch_model.bin`.
| 127 | [
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0... |
sbcBI/sentiment_analysis | 2022-04-22T06:42:07.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"exbert",
"en",
"dataset:Confidential",
"arxiv:1810.04805",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | sbcBI | null | null | sbcBI/sentiment_analysis | 5 | 8,801 | transformers | 2022-04-22T06:31:09 | ---
language: en
tags:
- exbert
license: apache-2.0
datasets:
- Confidential
---
# BERT base model (uncased)
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1810.04805) and first released in
[this repository](https://github.... | 2,215 | [
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Riiid/sheep-duck-llama-2-70b-v1.1 | 2023-10-13T00:59:15.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"Riiid",
"llama-2",
"sheep-duck-llama-2",
"en",
"arxiv:2306.02707",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Riiid | null | null | Riiid/sheep-duck-llama-2-70b-v1.1 | 14 | 8,798 | transformers | 2023-09-27T17:00:27 | ---
thumbnail: >-
https://cdn-uploads.huggingface.co/production/uploads/62fb1ef7e8c9c532aa7d19e4/NswB5XPkkOljeRh1xbMmR.png
pipeline_tag: text-generation
license: llama2
language:
- en
library_name: transformers
tags:
- Riiid
- llama-2
- sheep-duck-llama-2
---
# sheep-duck-llama-2
<img src = "https://cdn-uploads.hug... | 4,188 | [
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timm/convnext_nano.in12k_ft_in1k | 2023-03-31T22:32:30.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-12k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_nano.in12k_ft_in1k | 1 | 8,788 | timm | 2022-12-13T07:12:21 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-12k
---
# Model card for convnext_nano.in12k_ft_in1k
A ConvNeXt image classification model. Pretrained in `timm` on ImageNet-12k (a 11821 class subset of full ImageNet-22k) and fine-tuned on ImageNet-1k by ... | 15,989 | [
[
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-0.033905029296875,
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0.061920166015625,
0.01715087890625,
-0.04486083984375,
-0.041259765625,
-0.0517578125,
-0.00... |
microsoft/dit-base | 2023-02-27T17:55:38.000Z | [
"transformers",
"pytorch",
"beit",
"dit",
"arxiv:2203.02378",
"region:us"
] | null | microsoft | null | null | microsoft/dit-base | 11 | 8,786 | transformers | 2022-03-07T17:18:46 | ---
tags:
- dit
inference: false
---
# Document Image Transformer (base-sized model)
Document Image Transformer (DiT) model pre-trained on IIT-CDIP (Lewis et al., 2006), a dataset that includes 42 million document images. It was introduced in the paper [DiT: Self-supervised Pre-training for Document Image Transforme... | 3,165 | [
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beomi/kykim-gpt3-kor-small_based_on_gpt2 | 2021-11-16T15:21:35.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"ko",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | beomi | null | null | beomi/kykim-gpt3-kor-small_based_on_gpt2 | 5 | 8,773 | transformers | 2022-03-02T23:29:05 | ---
language: ko
---
# Bert base model for Korean
## Update
- Update at 2021.11.17 : Add Native Support for BERT Tokenizer (works with AutoTokenizer, pipeline)
---
* 70GB Korean text dataset and 42000 lower-cased subwords are used
* Check the model performance and other language models for Korean in [github](https... | 600 | [
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internlm/internlm-chat-20b | 2023-10-19T10:08:28.000Z | [
"transformers",
"pytorch",
"internlm",
"feature-extraction",
"text-generation",
"custom_code",
"license:apache-2.0",
"region:us"
] | text-generation | internlm | null | null | internlm/internlm-chat-20b | 122 | 8,766 | transformers | 2023-09-18T03:28:40 | ---
license: apache-2.0
pipeline_tag: text-generation
---
**InternLM**
<div align="center">
<img src="https://github.com/InternLM/InternLM/assets/22529082/b9788105-8892-4398-8b47-b513a292378e" width="200"/>
<div> </div>
<div align="center">
<b><font size="5">InternLM</font></b>
<sup>
<a href="... | 12,259 | [
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0.0040... |
Intel/t5-small-xsum-int8-dynamic | 2022-11-29T08:00:46.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"int8",
"Intel® Neural Compressor",
"neural-compressor",
"PostTrainingDynamic",
"dataset:mnli",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | Intel | null | null | Intel/t5-small-xsum-int8-dynamic | 1 | 8,755 | transformers | 2022-09-22T12:30:01 | ---
license: apache-2.0
tags:
- int8
- Intel® Neural Compressor
- neural-compressor
- PostTrainingDynamic
datasets:
- mnli
metrics:
- accuracy
---
# INT8 T5 small finetuned on XSum
### Post-training dynamic quantization
This is an INT8 PyTorch model quantized with [huggingface/optimum-intel](https://github.com/hug... | 1,023 | [
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-0.004688262939453125,
-0.040435791015625,
-0.0296783447265625,
-0.0419616699... |
Pi3141/DialoGPT-medium-elon-3 | 2022-12-08T01:47:29.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | conversational | Pi3141 | null | null | Pi3141/DialoGPT-medium-elon-3 | 0 | 8,692 | transformers | 2022-12-08T01:45:33 | ---
tags:
- conversational
---
# DialoGPT model that talks like Elon Musk
Trained on Twitter tweets by Elon Musk. This model will spew meaningless shit about 40% of the time.
Trained on 8 epochs. But with a larger dataset this time. The AI can now use more emojis i think. | 273 | [
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google/bigbird-pegasus-large-arxiv | 2023-01-24T16:36:41.000Z | [
"transformers",
"pytorch",
"bigbird_pegasus",
"text2text-generation",
"summarization",
"en",
"dataset:scientific_papers",
"arxiv:2007.14062",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | summarization | google | null | null | google/bigbird-pegasus-large-arxiv | 30 | 8,689 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: apache-2.0
datasets:
- scientific_papers
tags:
- summarization
model-index:
- name: google/bigbird-pegasus-large-arxiv
results:
- task:
type: summarization
name: Summarization
dataset:
name: scientific_papers
type: scientific_papers
config: pubmed
sp... | 6,289 | [
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0... |
monologg/kobigbird-bert-base | 2023-06-12T12:30:09.000Z | [
"transformers",
"pytorch",
"safetensors",
"big_bird",
"fill-mask",
"korean",
"ko",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | monologg | null | null | monologg/kobigbird-bert-base | 15 | 8,688 | transformers | 2022-03-02T23:29:05 | ---
language: ko
tags:
- korean
mask_token: "[MASK]"
widget:
- text: 대한민국의 수도는 [MASK] 입니다.
---
# KoBigBird
<img src="https://user-images.githubusercontent.com/28896432/140442206-e34b02d5-e279-47e5-9c2a-db1278b1c14d.png" width="200"/>
Pretrained BigBird Model for Korean (**kobigbird-bert-base**)
## About
BigBir... | 1,538 | [
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Helsinki-NLP/opus-mt-tc-big-ar-en | 2023-08-16T12:10:50.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"opus-mt-tc",
"ar",
"en",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-tc-big-ar-en | 9 | 8,686 | transformers | 2022-04-13T15:18:06 | ---
language:
- ar
- en
tags:
- translation
- opus-mt-tc
license: cc-by-4.0
model-index:
- name: opus-mt-tc-big-ar-en
results:
- task:
name: Translation ara-eng
type: translation
args: ara-eng
dataset:
name: flores101-devtest
type: flores_101
args: ara eng devtest
metrics... | 6,115 | [
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0.0177154541015625,
0.018035888671875,
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0.0109100341796875,
0.0300140380859375,
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TheBloke/Llama-2-7B-Chat-AWQ | 2023-09-27T12:49:40.000Z | [
"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-2-7B-Chat-AWQ | 2 | 8,684 | transformers | 2023-09-18T21:30:22 | ---
language:
- en
license: llama2
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
model_name: Llama 2 7B Chat
arxiv: 2307.09288
base_model: meta-llama/Llama-2-7b-chat-hf
inference: false
model_creator: Meta Llama 2
model_type: llama
pipeline_tag: text-generation
prompt_template: '[INST] <<SYS>>
You are a helpfu... | 21,265 | [
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inu-ai/niji-diffusion-xl-base-1.0 | 2023-08-14T12:49:36.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"safetensors",
"dataset:p1atdev/niji-v5",
"license:openrail++",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | inu-ai | null | null | inu-ai/niji-diffusion-xl-base-1.0 | 10 | 8,654 | diffusers | 2023-08-01T11:45:39 | ---
license: openrail++
thumbnail: >-
https://huggingface.co/inu-ai/niji-diffusion-xl-base-1.0/images/thumbnail.png
tags:
- text-to-image
- stable-diffusion
- safetensors
- diffusers
inference: true
widget:
- text: >-
best quality, high quality, absurdres, 1girl
datasets:
- p1atdev/niji-v5
library_... | 4,651 | [
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0.0... |
Severian/ANIMA-Phi-Neptune-Mistral-7B | 2023-10-26T11:03:46.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"chemistry",
"biology",
"climate",
"science",
"philosophy",
"nature",
"ecology",
"biomimicry",
"fauna",
"flora",
"dataset:Severian/Biomimicry",
"dataset:emrgnt-cmplxty/sciphi-textbooks-are-all-you-need",
"dataset:fmars/wiki_ste... | text-generation | Severian | null | null | Severian/ANIMA-Phi-Neptune-Mistral-7B | 19 | 8,635 | transformers | 2023-10-11T22:48:16 | ---
license: artistic-2.0
datasets:
- Severian/Biomimicry
- emrgnt-cmplxty/sciphi-textbooks-are-all-you-need
- fmars/wiki_stem
- fblgit/tree-of-knowledge
- Severian/Bio-Design-Process
tags:
- chemistry
- biology
- climate
- science
- philosophy
- nature
- ecology
- biomimicry
- fauna
- flora
pipeline_tag: text-generati... | 8,444 | [
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0.... |
uw-madison/mra-base-512-4 | 2023-07-10T16:11:54.000Z | [
"transformers",
"pytorch",
"mra",
"fill-mask",
"arxiv:2207.10284",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | uw-madison | null | null | uw-madison/mra-base-512-4 | 0 | 8,634 | transformers | 2023-06-23T06:04:05 | # MRA
MRA model for masked language modeling (MLM) for sequence length 512.
## About MRA
The MRA model was proposed in [Multi Resolution Analysis (MRA) for Approximate Self-Attention](https://arxiv.org/abs/2207.10284) by Zhanpeng Zeng, Sourav Pal, Jeffery Kline, Glenn M Fung, and Vikas Singh.
The abstract from the ... | 1,606 | [
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-0.0540161132812... |
Hate-speech-CNERG/bert-base-uncased-hatexplain | 2021-05-25T09:53:05.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"text-classification",
"en",
"dataset:hatexplain",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | Hate-speech-CNERG | null | null | Hate-speech-CNERG/bert-base-uncased-hatexplain | 14 | 8,629 | transformers | 2022-03-02T23:29:04 | ---
language: en
license: apache-2.0
datasets:
- hatexplain
---
The model is used for classifying a text as **Hatespeech**, **Offensive**, or **Normal**. The model is trained using data from Gab and Twitter and *Human Rationales* were included as part of the training data to boost the performance.
The dataset and mo... | 1,012 | [
[
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0.00197601318359375,
0.0281219482421875,
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-0.0509033203125,
-0.055908203125,
-... |
Salesforce/blip2-opt-6.7b | 2023-09-13T08:47:16.000Z | [
"transformers",
"pytorch",
"blip-2",
"visual-question-answering",
"vision",
"image-to-text",
"image-captioning",
"en",
"arxiv:2301.12597",
"license:mit",
"has_space",
"region:us"
] | image-to-text | Salesforce | null | null | Salesforce/blip2-opt-6.7b | 49 | 8,611 | transformers | 2023-02-07T14:34:39 | ---
language: en
license: mit
tags:
- vision
- image-to-text
- image-captioning
- visual-question-answering
pipeline_tag: image-to-text
inference: false
---
# BLIP-2, OPT-6.7b, pre-trained only
BLIP-2 model, leveraging [OPT-6.7b](https://huggingface.co/facebook/opt-6.7b) (a large language model with 6.7 billion param... | 3,364 | [
[
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0.052947998046875,
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-0... |
Yntec/BrandiMilne | 2023-10-14T05:37:53.000Z | [
"diffusers",
"Painting",
"oskarsson",
"MagicArt35",
"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/BrandiMilne | 1 | 8,593 | diffusers | 2023-10-14T03:16:51 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Painting
- oskarsson
- MagicArt35
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# Brandi Milne
PhotoMovieX by MagicArt35 with the BrandiMilne LoRA by oskarsson baked in.
Sample and prompt... | 682 | [
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zhyemmmm/ToonYou | 2023-06-06T07:23:13.000Z | [
"diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | zhyemmmm | null | null | zhyemmmm/ToonYou | 3 | 8,591 | diffusers | 2023-06-06T07:05:30 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
---
use to study | 103 | [
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google/mobilenet_v1_1.0_224 | 2023-05-16T16:38:27.000Z | [
"transformers",
"pytorch",
"mobilenet_v1",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:1704.04861",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | google | null | null | google/mobilenet_v1_1.0_224 | 0 | 8,569 | transformers | 2022-11-10T16:06:24 | ---
license: other
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: https://hu... | 2,776 | [
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-0.0263824462890625,
-0.047088623046875,
-0.013656616210937... |
nuigurumi/basil_mix | 2023-05-16T09:42:46.000Z | [
"diffusers",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | nuigurumi | null | null | nuigurumi/basil_mix | 959 | 8,569 | diffusers | 2023-01-04T07:45:22 | ---
license: other
---
## Model Description
- merged model.
- realistic texture and Asian face.
- designed to maintain a responsive reaction to danbooru based prompts.
## License
- This model and its derivatives(image, merged model) can be freely used for non-profit purposes only.
- You may not use this model and ... | 1,841 | [
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EleutherAI/pythia-12b-deduped | 2023-06-08T13:07:07.000Z | [
"transformers",
"pytorch",
"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-inference",
"region... | text-generation | EleutherAI | null | null | EleutherAI/pythia-12b-deduped | 48 | 8,565 | transformers | 2023-02-27T14:01:34 | ---
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... | 13,654 | [
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0.01486968994140625,
0.0107879638671875,
-0.0279388427734375,
-0.0218048095703125,
-0.033172607421... |
cerspense/zeroscope_v2_XL | 2023-07-03T21:13:09.000Z | [
"diffusers",
"video-to-video",
"license:cc-by-nc-4.0",
"has_space",
"diffusers:VideoToVideoSDPipeline",
"region:us"
] | null | cerspense | null | null | cerspense/zeroscope_v2_XL | 452 | 8,565 | diffusers | 2023-06-21T23:29:21 | ---
pipeline_tag: video-to-video
license: cc-by-nc-4.0
---
[example outputs](https://www.youtube.com/watch?v=HO3APT_0UA4) (courtesy of [dotsimulate](https://www.instagram.com/dotsimulate/))
# zeroscope_v2 XL
A watermark-free Modelscope-based video model capable of gene... | 4,006 | [
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... |
MoritzLaurer/deberta-v3-base-zeroshot-v1 | 2023-10-05T14:04:02.000Z | [
"transformers",
"pytorch",
"deberta-v2",
"text-classification",
"zero-shot-classification",
"en",
"license:mit",
"endpoints_compatible",
"region:us"
] | zero-shot-classification | MoritzLaurer | null | null | MoritzLaurer/deberta-v3-base-zeroshot-v1 | 33 | 8,555 | transformers | 2023-09-29T05:38:21 | ---
language:
- en
tags:
- text-classification
- zero-shot-classification
pipeline_tag: zero-shot-classification
library_name: transformers
license: mit
---
# deberta-v3-base-zeroshot-v1
## Model description
The model is designed for zero-shot classification with the Hugging Face pipeline.
The model should be substan... | 4,324 | [
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0.00820159912109375,
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0.035400390625,
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-0.053558349609375,
-0.06201171875,
0.00885772... |
declare-lab/flan-alpaca-large | 2023-08-21T06:49:29.000Z | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"dataset:tatsu-lab/alpaca",
"arxiv:2308.09662",
"arxiv:2306.04757",
"arxiv:2210.11416",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | declare-lab | null | null | declare-lab/flan-alpaca-large | 43 | 8,538 | transformers | 2023-03-21T17:52:31 | ---
license: apache-2.0
datasets:
- tatsu-lab/alpaca
---
## 🍮 🦙 Flan-Alpaca: Instruction Tuning from Humans and Machines
📣 Introducing **Red-Eval** to evaluate the safety of the LLMs using several jailbreaking prompts. With **Red-Eval** one could jailbreak/red-team GPT-4 with a 65.1% attack success rate and ChatGP... | 5,816 | [
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UFNLP/gatortron-base | 2023-07-02T20:44:19.000Z | [
"transformers",
"pytorch",
"megatron-bert",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | UFNLP | null | null | UFNLP/gatortron-base | 19 | 8,538 | transformers | 2023-06-02T23:27:12 | ---
license: apache-2.0
---
<h2>GatorTron-Base overview </h2>
Developed by a joint effort between the University of Florida and NVIDIA, GatorTron-Base is a clinical language model of 345 million parameters, pre-trained using a BERT architecure implemented in the Megatron package (https://github.com/NVIDIA/Megatron-LM)... | 3,796 | [
[
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-0.01044464111328125,
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0.021881103515625,
0.032562255859375,
-0.02520751953125,
-0.0355224609375,
-0.04217529296875,
... |
Undi95/Amethyst-13B-Mistral | 2023-10-03T12:04:00.000Z | [
"transformers",
"pytorch",
"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/Amethyst-13B-Mistral | 9 | 8,523 | transformers | 2023-10-01T03:51:19 | ---
license: cc-by-nc-4.0
tags:
- not-for-all-audiences
- nsfw
---
[THIS WAS A TEST, BUT PEOPLE LIKE IT, SO I ADD IT OFFICIALLY TO MY PROJECTS]
An attempt using [BlockMerge_Gradient](https://github.co... | 1,722 | [
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0.... |
SmilingWolf/wd-v1-4-convnextv2-tagger-v2 | 2023-03-23T17:09:39.000Z | [
"keras",
"onnx",
"license:apache-2.0",
"has_space",
"region:us"
] | null | SmilingWolf | null | null | SmilingWolf/wd-v1-4-convnextv2-tagger-v2 | 23 | 8,513 | keras | 2023-03-19T11:19:38 | ---
license: apache-2.0
---
# WD 1.4 ConvNextV2 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... | 734 | [
[
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unitary/unbiased-toxic-roberta | 2023-08-18T10:43:39.000Z | [
"transformers",
"pytorch",
"jax",
"roberta",
"text-classification",
"arxiv:1703.04009",
"arxiv:1905.12516",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | unitary | null | null | unitary/unbiased-toxic-roberta | 7 | 8,510 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
---
<div align="center">
**⚠️ Disclaimer:**
The huggingface models currently give different results to the detoxify library (see issue [here](https://github.com/unitaryai/detoxify/issues/15)). For the most up to date models we recommend using the models from https://github.com/unitaryai/det... | 11,088 | [
[
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0.0277099609375,
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DeepPavlov/rubert-base-cased-conversational | 2021-11-08T13:06:54.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"feature-extraction",
"ru",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | DeepPavlov | null | null | DeepPavlov/rubert-base-cased-conversational | 12 | 8,506 | transformers | 2022-03-02T23:29:04 | ---
language:
- ru
---
# rubert-base-cased-conversational
Conversational RuBERT \(Russian, cased, 12‑layer, 768‑hidden, 12‑heads, 180M parameters\) was trained on OpenSubtitles\[1\], [Dirty](https://d3.ru/), [Pikabu](https://pikabu.ru/), and a Social Media segment of Taiga corpus\[2\]. We assembled a new vocabulary f... | 929 | [
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openbmb/VisCPM-Paint | 2023-07-26T06:49:40.000Z | [
"diffusers",
"pytorch",
"en",
"zh",
"diffusers:VisCPMPaintBeePipeline",
"region:us"
] | null | openbmb | null | null | openbmb/VisCPM-Paint | 10 | 8,506 | diffusers | 2023-06-25T12:30:09 | ---
language:
- en
- zh
---
<div align="center">
**VisCPM**
**Chinese-English bilingual multi-modal large model series based on CPM (Chinese Pretrained Models) basic model**
<p align="center">
<a href="https://github.com/OpenBMB/VisCPM">Github</a> •
<a href="https://huggingface.co/openbmb/VisCPM-Chat">VisCPM-Cha... | 5,215 | [
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Yukang/Llama-2-7b-longlora-100k-ft | 2023-09-25T12:38:22.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2309.12307",
"endpoints_compatible",
"text-generation-inference",
"region:us",
"has_space"
] | text-generation | Yukang | null | null | Yukang/Llama-2-7b-longlora-100k-ft | 45 | 8,501 | transformers | 2023-09-13T05:55:57 | # LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
<font size=6><div align='center' > <a href=http://arxiv.org/abs/2309.12307>**Paper**</a> | <a href="https://huggingface.co/Yukang">**Models**</a> | <a href="https://github.com/dvlab-research/LongLoRA">**Code**</a> </div></font>
**LongLoRA: Effici... | 7,594 | [
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0.0... |
csarron/bert-base-uncased-squad-v1 | 2023-04-05T17:54:11.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"bert",
"question-answering",
"bert-base",
"en",
"dataset:squad",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | csarron | null | null | csarron/bert-base-uncased-squad-v1 | 10 | 8,500 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: mit
tags:
- question-answering
- bert
- bert-base
datasets:
- squad
metrics:
- squad
widget:
- text: Which name is also used to describe the Amazon rainforest in English?
context: 'The Amazon rainforest (Portuguese: Floresta Amazônica or Amazônia; Spanish:
Selva Amazónica, Amazonía or us... | 6,043 | [
[
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... |
laion/CLIP-ViT-H-14-frozen-xlm-roberta-large-laion5B-s13B-b90k | 2022-11-18T21:00:32.000Z | [
"open_clip",
"arxiv:1910.04867",
"license:mit",
"has_space",
"region:us"
] | null | laion | null | null | laion/CLIP-ViT-H-14-frozen-xlm-roberta-large-laion5B-s13B-b90k | 12 | 8,488 | open_clip | 2022-11-18T20:49:11 | ---
license: mit
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
---
# Model Card for CLIP ViT-H/14 frozen xlm roberta large - LAION-5B
# Table of Contents
1. [Model Details](#model-details... | 4,114 | [
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chavinlo/gpt4-x-alpaca | 2023-04-08T19:38:41.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | chavinlo | null | null | chavinlo/gpt4-x-alpaca | 465 | 8,488 | transformers | 2023-03-31T13:03:46 | # GPT4 x Alpaca
As a base model we used: https://huggingface.co/chavinlo/alpaca-13b
Finetuned on GPT4's responses, for 3 epochs.
NO LORA
Please do note that the configurations files maybe messed up, this is because of the trainer I used. I WILL NOT EDIT THEM because there are repos hat automatically fix this, chang... | 463 | [
[
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0.008956909... |
CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment | 2021-10-17T11:15:54.000Z | [
"transformers",
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | CAMeL-Lab | null | null | CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment | 23 | 8,487 | transformers | 2022-03-02T23:29:04 | ---
language:
- ar
license: apache-2.0
widget:
- text: "أنا بخير"
---
# CAMeLBERT-DA SA Model
## Model description
**CAMeLBERT-DA SA Model** is a Sentiment Analysis (SA) model that was built by fine-tuning the [CAMeLBERT Dialectal Arabic (DA)](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-da/) model.
Fo... | 3,362 | [
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0.0323486328125,
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ICBU-NPU/FashionGPT-70B-V1.1 | 2023-09-22T08:32:59.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:Open-Orca/OpenOrca",
"dataset:openchat/openchat_sharegpt4_dataset",
"dataset:LDJnr/Puffin",
"dataset:ehartford/samantha-data",
"dataset:OpenAssistant/oasst1",
"dataset:jondurbin/airoboros-gpt4-1.4.1",
"arxiv:2306.02707",
"... | text-generation | ICBU-NPU | null | null | ICBU-NPU/FashionGPT-70B-V1.1 | 41 | 8,454 | transformers | 2023-09-17T08:53:56 | ---
language:
- en
library_name: transformers
license: llama2
datasets:
- Open-Orca/OpenOrca
- openchat/openchat_sharegpt4_dataset
- LDJnr/Puffin
- ehartford/samantha-data
- OpenAssistant/oasst1
- jondurbin/airoboros-gpt4-1.4.1
---
# FashionGPT-V1.1
### Introduction
This is a llama-2-70B model combined with multipl... | 5,485 | [
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upstage/llama-30b-instruct-2048 | 2023-08-03T22:02:40.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"upstage",
"instruct",
"instruction",
"en",
"dataset:sciq",
"dataset:metaeval/ScienceQA_text_only",
"dataset:GAIR/lima",
"dataset:Open-Orca/OpenOrca",
"dataset:openbookqa",
"endpoints_compatible",
"has_space",
"text-generation-infe... | text-generation | upstage | null | null | upstage/llama-30b-instruct-2048 | 103 | 8,453 | transformers | 2023-07-13T12:06:18 | ---
datasets:
- sciq
- metaeval/ScienceQA_text_only
- GAIR/lima
- Open-Orca/OpenOrca
- openbookqa
language:
- en
tags:
- upstage
- llama
- instruct
- instruction
pipeline_tag: text-generation
---
# LLaMa-30b-instruct-2048 model card
## Model Details
* **Developed by**: [Upstage](https://en.upstage.ai)
* **B... | 6,598 | [
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0.... |
Brillibits/Instruct_Llama70B_Dolly15k | 2023-09-15T18:30:50.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:databricks/databricks-dolly-15k",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Brillibits | null | null | Brillibits/Instruct_Llama70B_Dolly15k | 0 | 8,447 | transformers | 2023-09-14T16:24:41 | ---
license: llama2
datasets:
- databricks/databricks-dolly-15k
language:
- en
pipeline_tag: text-generation
---
# Instruct_Llama70B_Dolly15k
Fine-tuned from Llama-2-70B，used Dolly15k for the dataset. 80% for training, 15% validation, 5% test. Trained for 1.5 epochs using QLora. Trained with 1024 context window.
# M... | 1,300 | [
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BELLE-2/BELLE-Llama2-13B-chat-0.4M | 2023-10-18T03:18:07.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"text2text-generation",
"zh",
"en",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | BELLE-2 | null | null | BELLE-2/BELLE-Llama2-13B-chat-0.4M | 27 | 8,445 | transformers | 2023-07-26T06:01:54 | ---
license: llama2
tags:
- text2text-generation
pipeline_tag: text2text-generation
language:
- zh
- en
---
# Model Card for Model ID
## Welcome
If you find this model helpful, please *like* this model and star us on https://github.com/LianjiaTech/BELLE !
## Model description
This model is obtained by fine-tuning th... | 2,746 | [
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0.... |
timm/dla34.in1k | 2023-04-24T21:12:19.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1707.06484",
"license:bsd-3-clause",
"region:us"
] | image-classification | timm | null | null | timm/dla34.in1k | 0 | 8,425 | timm | 2023-04-24T19:33:57 | ---
tags:
- image-classification
- timm
library_name: timm
license: bsd-3-clause
datasets:
- imagenet-1k
---
# Model card for dla34.in1k
A DLA (Deep Layer Aggregation) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Mo... | 3,582 | [
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garage-bAInd/Platypus2-70B-instruct | 2023-08-20T04:57:51.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:garage-bAInd/Open-Platypus",
"dataset:Open-Orca/OpenOrca",
"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/Platypus2-70B-instruct | 151 | 8,423 | transformers | 2023-08-04T22:20:35 | ---
language:
- en
datasets:
- garage-bAInd/Open-Platypus
- Open-Orca/OpenOrca
license: cc-by-nc-4.0
---
# Platypus2-70B-instruct
Platypus-70B-instruct is a merge of [`garage-bAInd/Platypus2-70B`](https://huggingface.co/garage-bAInd/Platypus2-70B) and [`upstage/Llama-2-70b-instruct-v2`](https://huggingface.co/upstage... | 5,154 | [
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Mahmoud8/roberta-base | 2023-10-20T00:13:45.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | Mahmoud8 | null | null | Mahmoud8/roberta-base | 0 | 8,414 | transformers | 2023-10-19T23:34:10 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-b... | 1,774 | [
[
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0.028411865234375,
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... |
facebook/wav2vec2-large-960h | 2022-04-05T16:40:42.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"speech",
"en",
"dataset:librispeech_asr",
"arxiv:2006.11477",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | facebook | null | null | facebook/wav2vec2-large-960h | 15 | 8,396 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
license: apache-2.0
---
# Wav2Vec2-Large-960h
[Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/)
The large model pretrained and fine-tuned on 960 hours of Librispeech on 16kHz sampled speech audi... | 3,532 | [
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kingabzpro/wav2vec2-large-xls-r-300m-Urdu | 2023-10-11T16:39:15.000Z | [
"transformers",
"pytorch",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"hf-asr-leaderboard",
"robust-speech-event",
"ur",
"dataset:mozilla-foundation/common_voice_8_0",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"reg... | automatic-speech-recognition | kingabzpro | null | null | kingabzpro/wav2vec2-large-xls-r-300m-Urdu | 6 | 8,393 | transformers | 2022-03-02T23:29:05 | ---
language:
- ur
license: apache-2.0
tags:
- generated_from_trainer
- hf-asr-leaderboard
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_8_0
metrics:
- wer
base_model: facebook/wav2vec2-xls-r-300m
model-index:
- name: wav2vec2-large-xls-r-300m-Urdu
results:
- task:
type: automatic-speech-r... | 3,262 | [
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0.0272064208984375,
-0.04925537109375,
-0.048309326171875,
-0.053070068359375... |
darkstorm2150/Protogen_x3.4_Official_Release | 2023-05-10T17:26:00.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"art",
"artistic",
"protogen",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | darkstorm2150 | null | null | darkstorm2150/Protogen_x3.4_Official_Release | 342 | 8,372 | diffusers | 2023-01-02T00:29:52 | ---
language:
- en
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- art
- artistic
- diffusers
- protogen
inference: true
license: creativeml-openrail-m
---
<center><img src="https://huggingface.co/darkstorm2150/Protogen_x3.4_Official_Release/resolve/main/Protogen_x3.4-512.png" style="height:690p... | 8,620 | [
[
-0.05133056640625,
-0.046875,
0.01416015625,
0.033599853515625,
-0.0121917724609375,
0.004177093505859375,
0.01143646240234375,
-0.0333251953125,
0.0281219482421875,
0.00685882568359375,
-0.047821044921875,
-0.0288543701171875,
-0.043182373046875,
0.00083017... |
shibing624/text2vec-base-chinese-paraphrase | 2023-06-26T06:51:03.000Z | [
"transformers",
"pytorch",
"ernie",
"feature-extraction",
"text2vec",
"sentence-similarity",
"zh",
"dataset:https://huggingface.co/datasets/shibing624/nli-zh-all/tree/main/text2vec-base-chinese-paraphrase-dataset",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | shibing624 | null | null | shibing624/text2vec-base-chinese-paraphrase | 51 | 8,363 | transformers | 2023-06-19T12:48:16 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- text2vec
- feature-extraction
- sentence-similarity
- transformers
datasets:
- https://huggingface.co/datasets/shibing624/nli-zh-all/tree/main/text2vec-base-chinese-paraphrase-dataset
language:
- zh
metrics:
- spearmanr
library_name: transformers
---
# s... | 9,524 | [
[
-0.005184173583984375,
-0.055328369140625,
0.025177001953125,
0.02935791015625,
-0.02587890625,
-0.03228759765625,
-0.017669677734375,
-0.0090789794921875,
0.00848388671875,
0.033447265625,
-0.02764892578125,
-0.039703369140625,
-0.040618896484375,
0.0095443... |
Linly-AI/Chinese-LLaMA-2-7B-hf | 2023-09-01T09:04:51.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Linly-AI | null | null | Linly-AI/Chinese-LLaMA-2-7B-hf | 18 | 8,357 | transformers | 2023-07-21T13:09:30 | 基于中英文混合语料增量训练，词表扩充汉字。
训练细节和benchmark指标： https://github.com/CVI-SZU/Linly
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("Linly-AI/Chinese-LLaMA-2-7B-hf", device_map="cuda:0", torch_dtype=torch.float16, trust_remote_code=True)
tokenizer = AutoToken... | 908 | [
[
-0.026153564453125,
-0.046112060546875,
0.0045623779296875,
0.0256805419921875,
-0.023773193359375,
0.00384521484375,
-0.01593017578125,
-0.031707763671875,
0.0002884864807128906,
-0.0080108642578125,
-0.029510498046875,
-0.03131103515625,
-0.04425048828125,
... |
TheBloke/wizardLM-7B-HF | 2023-06-05T00:09:55.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/wizardLM-7B-HF | 89 | 8,355 | transformers | 2023-04-26T07:12:30 | ---
license: other
---
<!-- header start -->
<div style="width: 100%;">
<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-content: space-between; width: 100%;">
<div style="display: flex; fl... | 3,930 | [
[
-0.042388916015625,
-0.048004150390625,
0.003894805908203125,
0.01123809814453125,
-0.0134124755859375,
-0.0063018798828125,
0.0013055801391601562,
-0.042388916015625,
0.0142059326171875,
0.03076171875,
-0.04864501953125,
-0.0247039794921875,
-0.022308349609375,... |
SkunkworksAI/Mistralic-7B-1 | 2023-10-03T22:04:49.000Z | [
"transformers",
"pytorch",
"endpoints_compatible",
"has_space",
"region:us"
] | null | SkunkworksAI | null | null | SkunkworksAI/Mistralic-7B-1 | 20 | 8,355 | transformers | 2023-09-29T23:45:09 | <p><h1> 🦾 Mistralic-7B-1 🦾 </h1></p>
Special thanks to Together Compute for sponsoring Skunkworks with compute!
**INFERENCE**
```
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
torch.set_default_device('cuda')
system_prompt = "Below is an instruction that describes a task, paired with a... | 1,749 | [
[
-0.02069091796875,
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0.0372314453125,
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-0.01351165771484375,
-0.006992340087890625,
0.007171630859375,
0.004467010498046875,
-0.046356201171875,
-0.033599853515625,
-0.044647216796875,
... |
TheBloke/WizardLM-13B-V1.2-GPTQ | 2023-09-27T12:45:05.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:2304.12244",
"arxiv:2306.08568",
"arxiv:2308.09583",
"license:llama2",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/WizardLM-13B-V1.2-GPTQ | 30 | 8,354 | transformers | 2023-07-25T22:17:07 | ---
license: llama2
model_name: WizardLM 13B V1.2
base_model: WizardLM/WizardLM-13B-V1.2
inference: false
model_creator: WizardLM
model_type: llama
prompt_template: 'A chat between a curious user and an artificial intelligence assistant.
The assistant gives helpful, detailed, and polite answers to the user''s questio... | 25,156 | [
[
-0.043121337890625,
-0.05712890625,
-0.0006093978881835938,
0.01568603515625,
-0.00878143310546875,
-0.00916290283203125,
0.00920867919921875,
-0.0367431640625,
0.010406494140625,
0.0302581787109375,
-0.043853759765625,
-0.03192138671875,
-0.024078369140625,
... |
codeparrot/codeparrot | 2022-06-24T08:28:28.000Z | [
"transformers",
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"code",
"generation",
"dataset:codeparrot/codeparrot-clean-train",
"model-index",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | codeparrot | null | null | codeparrot/codeparrot | 88 | 8,353 | transformers | 2022-03-02T23:29:05 | ---
language: code
tags:
- code
- gpt2
- generation
datasets:
- codeparrot/codeparrot-clean-train
widget:
- text: "from transformer import"
example_title: "Transformers"
- text: "def print_hello_world():\n\t"
example_title: "Hello World!"
- text: "def get_file_size(filepath):"
example_title: "File size"
- text: "... | 3,141 | [
[
-0.0430908203125,
-0.0343017578125,
-0.005710601806640625,
0.0034503936767578125,
-0.0304718017578125,
0.00925445556640625,
-0.01244354248046875,
-0.02496337890625,
-0.007106781005859375,
0.014617919921875,
-0.043060302734375,
-0.0221099853515625,
-0.04629516601... |
ehartford/dolphin-2.0-mistral-7b | 2023-10-03T16:25:19.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"en",
"dataset:ehartford/dolphin",
"dataset:jondurbin/airoboros-2.2.1",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | ehartford | null | null | ehartford/dolphin-2.0-mistral-7b | 97 | 8,339 | transformers | 2023-10-02T21:56:22 | ---
license: apache-2.0
datasets:
- ehartford/dolphin
- jondurbin/airoboros-2.2.1
language:
- en
---
Dolphin 2.0 🐬
https://erichartford.com/dolphin
Dolphin-2.0-mistral-7b's training was sponsored by [a16z](https://a16z.com/supporting-the-open-source-ai-community/).
This model is based on mistralAI, so it is suitabl... | 2,233 | [
[
-0.0287628173828125,
-0.034210205078125,
0.004756927490234375,
0.0210418701171875,
-0.020263671875,
-0.0396728515625,
0.006984710693359375,
-0.06439208984375,
0.0014629364013671875,
0.038482666015625,
-0.054168701171875,
-0.000621795654296875,
-0.051422119140625... |
baichuan-inc/Baichuan2-13B-Base | 2023-10-07T04:29:23.000Z | [
"transformers",
"pytorch",
"baichuan",
"text-generation",
"custom_code",
"en",
"zh",
"license:other",
"has_space",
"region:us"
] | text-generation | baichuan-inc | null | null | baichuan-inc/Baichuan2-13B-Base | 61 | 8,338 | transformers | 2023-08-30T10:11:24 | ---
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="... | 12,943 | [
[
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0.029266357421875,
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0.01861572265625,
0.0058746337890625,
-0.03326416015625,
-0.03515625,
-0.049591064453125,
-0.0019... |
jondurbin/airoboros-l2-13b-2.2.1 | 2023-09-21T18:39:18.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:jondurbin/airoboros-2.2.1",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | jondurbin | null | null | jondurbin/airoboros-l2-13b-2.2.1 | 3 | 8,329 | transformers | 2023-09-20T18:35:28 | ---
license: llama2
datasets:
- jondurbin/airoboros-2.2.1
---
### Overview
Another experimental model, using mostly sythetic data generated by [airoboros](https://github.com/jondurbin/airoboros)
This is essentially a minor "fix" branch of [airoboros-l2-13b-2.2](https://hf.co/jondurbin/airoboros-l2-13b-2.2) with a up... | 18,792 | [
[
-0.0263519287109375,
-0.08306884765625,
0.033660888671875,
0.0038013458251953125,
-0.003559112548828125,
-0.0245361328125,
-0.011962890625,
-0.032989501953125,
0.025390625,
0.041046142578125,
-0.060546875,
-0.032470703125,
-0.0258026123046875,
0.014099121093... |
mosaicml/mpt-7b-8k-chat | 2023-10-30T21:54:04.000Z | [
"transformers",
"pytorch",
"mpt",
"text-generation",
"Composer",
"MosaicML",
"llm-foundry",
"custom_code",
"dataset:camel-ai/code",
"dataset:ehartford/wizard_vicuna_70k_unfiltered",
"dataset:anon8231489123/ShareGPT_Vicuna_unfiltered",
"dataset:teknium1/GPTeacher/roleplay-instruct-v2-final",
... | text-generation | mosaicml | null | null | mosaicml/mpt-7b-8k-chat | 30 | 8,319 | transformers | 2023-06-22T22:00:29 | ---
license: cc-by-nc-sa-4.0
datasets:
- camel-ai/code
- ehartford/wizard_vicuna_70k_unfiltered
- anon8231489123/ShareGPT_Vicuna_unfiltered
- teknium1/GPTeacher/roleplay-instruct-v2-final
- teknium1/GPTeacher/codegen-isntruct
- timdettmers/openassistant-guanaco
- camel-ai/math
- project-baize/baize-chatbot/medical_chat... | 7,959 | [
[
-0.034881591796875,
-0.04461669921875,
0.01128387451171875,
0.0300140380859375,
-0.0224761962890625,
-0.0011682510375976562,
-0.00887298583984375,
-0.024383544921875,
0.00452423095703125,
0.0242462158203125,
-0.044891357421875,
-0.041717529296875,
-0.05047607421... |
Yntec/epiCRealismVAE | 2023-10-20T22:24:31.000Z | [
"diffusers",
"Photorealistic",
"Analog",
"Portrait",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"epinikion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/epiCRealismVAE | 2 | 8,319 | diffusers | 2023-08-16T18:26:44 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Photorealistic
- Analog
- Portrait
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- epinikion
---
# Epic Realism VAE
This model with the MoistV2VAE baked in.
Samples and prompt:
![Sample](http... | 815 | [
[
-0.01105499267578125,
-0.05487060546875,
0.00910186767578125,
0.024505615234375,
-0.01224517822265625,
-0.010955810546875,
0.0291290283203125,
-0.01238250732421875,
0.042022705078125,
0.070068359375,
-0.046478271484375,
-0.020355224609375,
-0.0255126953125,
... |
persiannlp/mt5-small-parsinlu-opus-translation_fa_en | 2021-09-23T16:20:36.000Z | [
"transformers",
"pytorch",
"mt5",
"text2text-generation",
"machine-translation",
"persian",
"farsi",
"fa",
"multilingual",
"dataset:parsinlu",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | persiannlp | null | null | persiannlp/mt5-small-parsinlu-opus-translation_fa_en | 0 | 8,314 | transformers | 2022-03-02T23:29:05 | ---
language:
- fa
- multilingual
thumbnail: https://upload.wikimedia.org/wikipedia/commons/a/a2/Farsi.svg
tags:
- machine-translation
- mt5
- persian
- farsi
license: cc-by-nc-sa-4.0
datasets:
- parsinlu
metrics:
- sacrebleu
---
# Machine Translation (ترجمهی ماشینی)
This is an mT5-based model for machine translatio... | 1,559 | [
[
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-0.048583984375,
0.0189666748046875,
0.019439697265625,
-0.044189453125,
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-0.0041046142578125,
0.0027599334716796875,
-0.0022487640380859375,
0.049835205078125,
-0.0469970703125,
-0.046173095703125,
-0.04608154296875,
... |
ICBU-NPU/FashionGPT-70B-V1 | 2023-09-22T07:58:07.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:ehartford/samantha-data",
"dataset:Open-Orca/OpenOrca",
"dataset:jondurbin/airoboros-gpt4-1.4.1",
"arxiv:2306.02707",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | ICBU-NPU | null | null | ICBU-NPU/FashionGPT-70B-V1 | 4 | 8,309 | transformers | 2023-09-17T11:09:47 | ---
license: llama2
datasets:
- ehartford/samantha-data
- Open-Orca/OpenOrca
- jondurbin/airoboros-gpt4-1.4.1
language:
- en
---
# FashionGPT-V1
### Introduction
This is a llama-2-70B model combined with two adapters via appropriate methods.
### Dataset
Here is the list of datasets used:
* Orca-style 40K dataset... | 4,528 | [
[
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0.0115966796875,
0.01654052734375,
-0.050537109375,
-0.035308837890625,
-0.040435791015625,
-0.015869... |
cerebras/Cerebras-GPT-256M | 2023-04-07T13:49:13.000Z | [
"transformers",
"pytorch",
"gpt2",
"causal-lm",
"text-generation",
"en",
"dataset:the_pile",
"arxiv:2304.03208",
"arxiv:2203.15556",
"arxiv:2101.00027",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | cerebras | null | null | cerebras/Cerebras-GPT-256M | 20 | 8,306 | transformers | 2023-03-20T20:40:06 | ---
language:
- en
tags:
- pytorch
- causal-lm
license: apache-2.0
datasets:
- the_pile
pipeline_tag: text-generation
---
# Cerebras-GPT 256M
Check out our [Blog Post](https://www.cerebras.net/cerebras-gpt) and [arXiv paper](https://arxiv.org/abs/2304.03208)!
## Model Description
The Cerebras-GPT family is released ... | 12,559 | [
[
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-0.046142578125,
0.0193328857421875,
0.01297760009765625,
-0.01904296875,
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-0.015594482421875,
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0.013092041015625,
0.020904541015625,
-0.0291900634765625,
-0.03118896484375,
-0.05548095703125,
-0.015... |
huggyllama/llama-65b | 2023-04-07T15:51:00.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | huggyllama | null | null | huggyllama/llama-65b | 64 | 8,241 | transformers | 2023-04-04T01:43:00 | ---
license: other
---
This contains the weights for the LLaMA-65b model. This model is under a non-commercial license (see the LICENSE file).
You should only use this repository if you have been granted access to the model by filling out [this form](https://docs.google.com/forms/d/e/1FAIpQLSfqNECQnMkycAp2jP4Z9TFX0cGR... | 473 | [
[
0.002788543701171875,
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0.0262908935546875,
0.041778564453125,
-0.040252685546875,
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0.021575927734375,
-0.02764892578125,
0.027435302734375,
0.0498046875,
-0.048736572265625,
-0.0312042236328125,
-0.055572509765625,
... |
roberta-large-openai-detector | 2022-07-22T08:07:41.000Z | [
"transformers",
"pytorch",
"jax",
"roberta",
"text-classification",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1904.09751",
"arxiv:1910.09700",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | null | null | null | roberta-large-openai-detector | 8 | 8,231 | transformers | 2022-03-02T23:29:04 | ---
language: en
license: mit
tags:
- exbert
datasets:
- bookcorpus
- wikipedia
---
# RoBERTa Large OpenAI Detector
## Table of Contents
- [Model Details](#model-details)
- [Uses](#uses)
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
- [Training](#training)
- [Evaluation](#evaluation)
- [Environmen... | 9,182 | [
[
-0.02093505859375,
-0.058502197265625,
0.040802001953125,
-0.0177764892578125,
-0.022003173828125,
-0.036590576171875,
-0.0200042724609375,
-0.0665283203125,
-0.03131103515625,
0.0270233154296875,
-0.018768310546875,
-0.0255889892578125,
-0.070556640625,
-0.... |
Undi95/MLewd-v2.4-13B | 2023-09-26T22:12:52.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"not-for-all-audiences",
"nsfw",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us",
"has_space"
] | text-generation | Undi95 | null | null | Undi95/MLewd-v2.4-13B | 15 | 8,225 | transformers | 2023-09-26T21:16:07 | ---
license: cc-by-nc-4.0
tags:
- not-for-all-audiences
- nsfw
---
THIS MODEL IS MADE FOR LEWD
SEXUAL, CRUDE AND KINKY CONTENT IN OUTPUT CAN AND WILL HAPPEN. YOU'RE WARNED
Added the "magic touch" ... | 1,840 | [
[
-0.04876708984375,
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0.0390625,
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0.017242431640625,
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0.06201171875,
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0.01372528076171875,
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laion/CLIP-convnext_base_w-laion_aesthetic-s13B-b82K | 2023-04-18T22:04:49.000Z | [
"open_clip",
"tensorboard",
"clip",
"zero-shot-image-classification",
"arxiv:2201.03545",
"arxiv:1910.04867",
"license:mit",
"has_space",
"region:us"
] | zero-shot-image-classification | laion | null | null | laion/CLIP-convnext_base_w-laion_aesthetic-s13B-b82K | 2 | 8,222 | open_clip | 2023-01-03T00:25:22 | ---
license: mit
library_name: open_clip
pipeline_tag: zero-shot-image-classification
tags:
- clip
---
# Model Card for CLIP-convnext_base_w.laion_aesthetic-s13B-b82k
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. [Training Details](#training-details)
4. [Evaluation](#evaluation)
5. [Ackn... | 12,627 | [
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Helsinki-NLP/opus-mt-sq-en | 2023-08-16T12:04:25.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sq",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-sq-en | 1 | 8,211 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sq-en
* source languages: sq
* target languages: en
* OPUS readme: [sq-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sq-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 818 | [
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0.031890869140625,
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... |
lunarfish/furrydiffusion | 2023-05-16T09:40:51.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"furry",
"anything-v3.0",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | lunarfish | null | null | lunarfish/furrydiffusion | 48 | 8,201 | diffusers | 2022-12-26T23:17:54 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- furry
- anything-v3.0
---
FurryDiffusion is a model made to generate furry art, this model is very much in beta still and will keep imp... | 1,179 | [
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0.031585693359375,
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-0.0301361083984375,
0.01117706... |
lllyasviel/control_v11p_sd15_inpaint | 2023-05-26T09:58:45.000Z | [
"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_inpaint | 55 | 8,191 | diffusers | 2023-04-14T19:25:42 | ---
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_inpaint
---
# Controlnet - v1.1 - *InPaint Version*
**Controlnet v1.1** was released in [lllyasviel/ControlNet-v1-1]... | 15,912 | [
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Abe13/juniper-certificate-Llama-2-7b-chat-hf | 2023-10-21T14:07:02.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Abe13 | null | null | Abe13/juniper-certificate-Llama-2-7b-chat-hf | 0 | 8,190 | transformers | 2023-10-03T01:38:18 | ---
license: apache-2.0
---
OpenAI: "This is a sophisticated and highly advanced model, designed to meticulously analyze and process a wide range of publicly accessible documents. Through its intricate algorithms and extensive data processing capabilities, it can delve deep into a vast repository of information, extra... | 1,257 | [
[
-0.0157928466796875,
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0.03271484375,
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LeoLM/leo-hessianai-7b-chat-bilingual | 2023-09-29T13:16:38.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"custom_code",
"en",
"de",
"dataset:LeoLM/OpenSchnabeltier",
"dataset:OpenAssistant/OASST-DE",
"dataset:FreedomIntelligence/alpaca-gpt4-deutsch",
"dataset:FreedomIntelligence/evol-instruct-deutsch",
"dataset:LeoLM/German_Poems",
"dataset... | text-generation | LeoLM | null | null | LeoLM/leo-hessianai-7b-chat-bilingual | 6 | 8,182 | transformers | 2023-09-10T19:00:52 | ---
datasets:
- LeoLM/OpenSchnabeltier
- OpenAssistant/OASST-DE
- FreedomIntelligence/alpaca-gpt4-deutsch
- FreedomIntelligence/evol-instruct-deutsch
- LeoLM/German_Poems
- LeoLM/German_Songs
- garage-bAInd/Open-Platypus
- WizardLM/WizardLM_evol_instruct_70k
- bjoernp/oasst25-08-23-filtered
language:
- en
- de
library_... | 9,164 | [
[
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0.03594970703125,
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0.01812744140625,
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0.0... |
codellama/CodeLlama-34b-Python-hf | 2023-10-27T18:10:31.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"llama-2",
"code",
"arxiv:2308.12950",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | codellama | null | null | codellama/CodeLlama-34b-Python-hf | 63 | 8,179 | transformers | 2023-08-24T16:57:23 | ---
language:
- code
pipeline_tag: text-generation
tags:
- llama-2
license: llama2
---
# **Code Llama**
Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters. This is the repository for the 34B Python specialist version in the Hugging Fac... | 6,162 | [
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0.0372314453125,
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-0.040802001953125,
-0.042144775390625,
0.0244... |
DeepChem/ChemBERTa-10M-MTR | 2022-11-16T23:00:19.000Z | [
"transformers",
"pytorch",
"roberta",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | DeepChem | null | null | DeepChem/ChemBERTa-10M-MTR | 4 | 8,164 | transformers | 2022-03-02T23:29:04 | ---
tags:
- roberta
---
# Model Card for ChemBERTa-10M-MTR
# Model Details
## Model Description
More information needed
- **Developed by:** DeepChem
- **Shared by [Optional]:** DeepChem
- **Model type:** Token Classification
- **Language(s) (NLP):** More information needed
- **License:** More information nee... | 3,581 | [
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castorini/monot5-large-msmarco | 2021-10-17T11:20:56.000Z | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | feature-extraction | castorini | null | null | castorini/monot5-large-msmarco | 0 | 8,152 | transformers | 2022-03-02T23:29:05 | This model is a T5-large reranker fine-tuned on the MS MARCO passage dataset for 100k steps (or 10 epochs).
For more details on how to use it, check the following links:
- [A simple reranking example](https://github.com/castorini/pygaggle#a-simple-reranking-example)
- [Rerank MS MARCO passages](https://github.com/cast... | 662 | [
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0.023956298828125,
0.035400390625,
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-0.0498046875,
-0.04217529296875,
0.01139... |
google/t5-large-lm-adapt | 2023-01-24T16:52:08.000Z | [
"transformers",
"pytorch",
"tf",
"t5",
"text2text-generation",
"t5-lm-adapt",
"en",
"dataset:c4",
"arxiv:2002.05202",
"arxiv:1910.10683",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | google | null | null | google/t5-large-lm-adapt | 6 | 8,150 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- c4
tags:
- t5-lm-adapt
license: apache-2.0
---
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) Version 1.1 - LM-Adapted
## Version 1.1 - LM-Adapted
[T5 Version 1.1 - LM Adapted](https://github.com/google-research/text-to-text-transfer-transform... | 3,207 | [
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0.03289794921875,
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-0.04296875,
-0.061614990234375,
0.02272... |
IkariDev/Athena-v3 | 2023-10-03T14:39:22.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | IkariDev | null | null | IkariDev/Athena-v3 | 10 | 8,144 | transformers | 2023-09-26T18:59:34 | ---
license: cc-by-nc-4.0
---
Experimental Athena v3 model. Use Alpaca format. Suitable for RP, ERP and general stuff.
<!-- description start -->
## Description
<!-- [Recommended settings - contrib... | 2,400 | [
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0.00786590576171875... |
google/long-t5-local-base | 2023-09-07T15:36:37.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"longt5",
"text2text-generation",
"en",
"arxiv:2112.07916",
"arxiv:1912.08777",
"arxiv:1910.10683",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | google | null | null | google/long-t5-local-base | 13 | 8,141 | transformers | 2022-04-14T16:53:51 | ---
license: apache-2.0
language: en
---
# LongT5 (local attention, base-sized model)
LongT5 model pre-trained on English language. The model was introduced in the paper [LongT5: Efficient Text-To-Text Transformer for Long Sequences](https://arxiv.org/pdf/2112.07916.pdf) by Guo et al. and first released in [the LongT... | 2,371 | [
[
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0.025604248046875,
-0.037933349609375,
-0.036102294921875,
-0.0469970703125,
0.035... |
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