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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
digiplay/fishmix_other_v1 | 2023-11-02T13:04:59.000Z | [
"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/fishmix_other_v1 | 2 | 2,918 | diffusers | 2023-07-06T19:04:48 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
23-3-9-实验-咸鱼mix风格化 ——fish mix the other Style
https://civitai.com/models/17565/23-3-9-mix-fish-mix-the-other-style
Original Author's DEMO image :
![](https://image.civitai.com/xG1nkqK... | 1,086 | [
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microsoft/markuplm-large | 2022-09-30T08:56:38.000Z | [
"transformers",
"pytorch",
"markuplm",
"en",
"arxiv:2110.08518",
"endpoints_compatible",
"region:us"
] | null | microsoft | null | null | microsoft/markuplm-large | 15 | 2,917 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
---
# MarkupLM
**Multimodal (text +markup language) pre-training for [Document AI](https://www.microsoft.com/en-us/research/project/document-ai/)**
## Introduction
MarkupLM is a simple but effective multi-modal pre-training method of text and markup language for visually-rich document understa... | 887 | [
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alexsherstinsky/Mistral-7B-v0.1-sharded | 2023-10-04T18:45:13.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"pretrained",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | alexsherstinsky | null | null | alexsherstinsky/Mistral-7B-v0.1-sharded | 4 | 2,916 | transformers | 2023-10-04T15:21:42 | ---
license: apache-2.0
pipeline_tag: text-generation
tags:
- pretrained
inference:
parameters:
temperature: 0.7
---
# Note: Sharded Version of the Original "Mistral 7B" Model
This is just a version of https://huggingface.co/mistralai/Mistral-7B-v0.1 which is sharded to 2GB maximum parts in order to reduce the ... | 2,001 | [
[
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Callidior/bert2bert-base-arxiv-titlegen | 2023-04-26T19:42:59.000Z | [
"transformers",
"pytorch",
"safetensors",
"encoder-decoder",
"text2text-generation",
"summarization",
"en",
"dataset:arxiv_dataset",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | summarization | Callidior | null | null | Callidior/bert2bert-base-arxiv-titlegen | 9 | 2,910 | transformers | 2022-03-02T23:29:04 | ---
language:
- en
tags:
- summarization
license: apache-2.0
datasets:
- arxiv_dataset
metrics:
- rouge
widget:
- text: "The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and ... | 1,749 | [
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-0.019317626953125,
-0.046173095703125,
0.00... |
stanford-crfm/alias-gpt2-small-x21 | 2022-12-03T00:33:39.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | stanford-crfm | null | null | stanford-crfm/alias-gpt2-small-x21 | 4 | 2,896 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- gpt2
- text-generation
---
# Model Card for alias-gpt2-small-x21
# Model Details
## Model Description
More information needed
- **Developed by:** Stanford CRFM
- **Shared by [Optional]:** Stanford CRFM
- **Model type:** Text Generation
- **Language(s) (NLP):** More information... | 3,362 | [
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kxic/zero123-xl | 2023-08-02T13:01:05.000Z | [
"diffusers",
"license:mit",
"diffusers:Zero1to3StableDiffusionPipeline",
"region:us"
] | null | kxic | null | null | kxic/zero123-xl | 1 | 2,891 | diffusers | 2023-07-26T14:24:52 | ---
license: mit
---
Upload zero123-xl.ckpt, converted by diffusers scripts convert_original_stable_diffusion_to_diffusers.py
[Zero123-hf](https://github.com/kxhit/zero123_hf) implemented with diffusers pipelines.
Thanks Original Repo [Zero123](https://github.com/cvlab-columbia/zero123), and [Weights](https://huggin... | 352 | [
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iarfmoose/t5-base-question-generator | 2022-02-24T08:41:19.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | iarfmoose | null | null | iarfmoose/t5-base-question-generator | 46 | 2,890 | transformers | 2022-03-02T23:29:05 | # Model name
## Model description
This model is a sequence-to-sequence question generator which takes an answer and context as an input, and generates a question as an output. It is based on a pretrained `t5-base` model.
## Intended uses & limitations
The model is trained to generate reading comprehension-style que... | 2,375 | [
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soi147/3d-humanoid | 2023-10-31T12:18:39.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | soi147 | null | null | soi147/3d-humanoid | 0 | 2,889 | diffusers | 2023-10-27T00:44:14 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### 3D_humanoid Dreambooth model trained by soi147 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [f... | 729 | [
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0.0047645568... |
Patan-Arif123/my-house | 2023-11-03T14:16:44.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Patan-Arif123 | null | null | Patan-Arif123/my-house | 0 | 2,889 | diffusers | 2023-11-03T14:13:25 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-House Dreambooth model trained by Patan-Arif123 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: MITS-1440
Sample pictures of this concept:
![0](https://huggingface... | 393 | [
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r-f/wav2vec-english-speech-emotion-recognition | 2022-09-25T13:20:47.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | r-f | null | null | r-f/wav2vec-english-speech-emotion-recognition | 3 | 2,888 | transformers | 2022-09-22T13:42:26 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model_index:
name: wav2vec-english-speech-emotion-recognition
---
# Speech Emotion Recognition By Fine-Tuning Wav2Vec 2.0
The model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosma... | 2,590 | [
[
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bigcode/starcoderbase-7b | 2023-07-26T16:12:33.000Z | [
"transformers",
"pytorch",
"gpt_bigcode",
"text-generation",
"code",
"dataset:bigcode/the-stack-dedup",
"arxiv:1911.02150",
"arxiv:2205.14135",
"arxiv:2207.14255",
"arxiv:2305.06161",
"license:bigcode-openrail-m",
"model-index",
"endpoints_compatible",
"has_space",
"text-generation-infer... | text-generation | bigcode | null | null | bigcode/starcoderbase-7b | 24 | 2,888 | transformers | 2023-07-26T12:10:50 | ---
pipeline_tag: text-generation
inference: true
widget:
- text: 'def print_hello_world():'
example_title: Hello world
group: Python
license: bigcode-openrail-m
datasets:
- bigcode/the-stack-dedup
metrics:
- code_eval
library_name: transformers
tags:
- code
model-index:
- name: StarCoder-7B
results:
- task:
... | 8,406 | [
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Salesforce/codet5p-2b | 2023-08-04T02:10:45.000Z | [
"transformers",
"pytorch",
"codet5p",
"text2text-generation",
"custom_code",
"arxiv:2305.07922",
"license:bsd-3-clause",
"autotrain_compatible",
"has_space",
"region:us"
] | text2text-generation | Salesforce | null | null | Salesforce/codet5p-2b | 29 | 2,886 | transformers | 2023-05-17T02:24:16 | ---
license: bsd-3-clause
---
# CodeT5+ 2B
## Model description
[CodeT5+](https://github.com/salesforce/CodeT5/tree/main/CodeT5+) is a new family of open code large language models with an encoder-decoder architecture that can flexibly operate in different modes (i.e. _encoder-only_, _decoder-only_, and _encoder-dec... | 5,169 | [
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luodian/OTTER-Image-MPT7B | 2023-10-09T03:52:48.000Z | [
"transformers",
"pytorch",
"otter",
"text2text-generation",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | luodian | null | null | luodian/OTTER-Image-MPT7B | 5 | 2,886 | transformers | 2023-07-09T03:54:03 | ---
license: mit
---
<p align="center" width="100%">
<img src="https://i.postimg.cc/MKmyP9wH/new-banner.png" width="80%" height="80%">
</p>
<div>
<div align="center">
<a href='https://brianboli.com/' target='_blank'>Bo Li*<sup>1</sup></a> 
<a href='https://zhangyuanhan-ai.github.io/' target='_blank'>Yu... | 1,200 | [
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mrm8488/bert-tiny-finetuned-squadv2 | 2023-03-24T09:46:52.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"bert",
"question-answering",
"QA",
"en",
"arxiv:1908.08962",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | mrm8488 | null | null | mrm8488/bert-tiny-finetuned-squadv2 | 1 | 2,879 | transformers | 2022-03-02T23:29:05 | ---
language: en
thumbnail:
tags:
- QA
---
# BERT-Tiny fine-tuned on SQuAD v2
[BERT-Tiny](https://github.com/google-research/bert/) created by [Google Research](https://github.com/google-research) and fine-tuned on [SQuAD 2.0](https://rajpurkar.github.io/SQuAD-explorer/) for **Q&A** downstream task.
**Mode size** (... | 3,598 | [
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0.00... |
speechbrain/mtl-mimic-voicebank | 2023-07-23T02:26:22.000Z | [
"speechbrain",
"Robust ASR",
"audio-to-audio",
"speech-enhancement",
"PyTorch",
"en",
"dataset:Voicebank",
"dataset:DEMAND",
"arxiv:2106.04624",
"license:apache-2.0",
"has_space",
"region:us"
] | audio-to-audio | speechbrain | null | null | speechbrain/mtl-mimic-voicebank | 16 | 2,874 | speechbrain | 2022-03-02T23:29:05 | ---
language: "en"
tags:
- Robust ASR
- audio-to-audio
- speech-enhancement
- PyTorch
- speechbrain
license: "apache-2.0"
datasets:
- Voicebank
- DEMAND
metrics:
- WER
- PESQ
- COVL
---
<iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="... | 4,506 | [
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-0... |
Rajaram1996/Hubert_emotion | 2022-11-19T20:10:41.000Z | [
"transformers",
"pytorch",
"hubert",
"speech",
"audio",
"HUBert",
"audio-classification",
"endpoints_compatible",
"has_space",
"region:us"
] | audio-classification | Rajaram1996 | null | null | Rajaram1996/Hubert_emotion | 10 | 2,871 | transformers | 2022-03-02T23:29:04 | ---
inference: true
pipeline_tag: audio-classification
tags:
- speech
- audio
- HUBert
---
Working example of using pretrained model to predict emotion in local audio file
```
def predict_emotion_hubert(audio_file):
""" inspired by an example from https://github.com/m3hrdadfi/soxan """
from audio_models imp... | 2,138 | [
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-0.043212890625,
-0.03204345703125,
-0.009483337402... |
stablediffusionapi/cyberrealistic | 2023-08-29T18:15:43.000Z | [
"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/cyberrealistic | 3 | 2,866 | diffusers | 2023-05-12T19:36:52 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# API Inference
## Get API Key
Get ... | 2,410 | [
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s-nlp/russian_toxicity_classifier | 2023-03-24T10:55:28.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"bert",
"text-classification",
"toxic comments classification",
"ru",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | s-nlp | null | null | s-nlp/russian_toxicity_classifier | 20 | 2,864 | transformers | 2022-03-02T23:29:05 | ---
language:
- ru
tags:
- toxic comments classification
licenses:
- cc-by-nc-sa
---
Bert-based classifier (finetuned from [Conversational Rubert](https://huggingface.co/DeepPavlov/rubert-base-cased-conversational)) trained on merge of Russian Language Toxic Comments [dataset](https://www.kaggle.com/blackmoon/russia... | 1,819 | [
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timm/efficientvit_b0.r224_in1k | 2023-08-18T22:44:37.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2205.14756",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/efficientvit_b0.r224_in1k | 0 | 2,864 | timm | 2023-08-18T22:44:10 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientvit_b0.r224_in1k
An EfficientViT (MIT) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- ... | 3,662 | [
[
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0.0161895751953125,
0.02362060546875,
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-0.047576904296875,
-0.049835205078125,
... |
Yntec/LuckyStrike | 2023-10-23T11:46:19.000Z | [
"diffusers",
"Character",
"Beautiful",
"kinshin007",
"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/LuckyStrike | 1 | 2,861 | diffusers | 2023-10-23T06:09:26 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Character
- Beautiful
- kinshin007
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# Lucky Strike
Original page: https://civitai.com/models/13034?modelVersionId=15358
Sample and prompt:
![S... | 665 | [
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0.0704345703125,
-0.047515869140625,
-0.0192413330078125,
-0.04180908203125,
-0.0067672... |
Vsukiyaki/ShiratakiMix | 2023-07-22T15:55:35.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"ja",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Vsukiyaki | null | null | Vsukiyaki/ShiratakiMix | 127 | 2,856 | diffusers | 2023-04-05T15:02:53 | ---
license: creativeml-openrail-m
language:
- ja
tags:
- stable-diffusion
- text-to-image
---
# ◆ ShiratakiMix
<img src="https://huggingface.co/Vsukiyaki/ShiratakiMix/resolve/main/imgs/header.jpg">
## 概要 / Overview
- **ShiratakiMix**は、2D風の画風に特化したマージモデルです。 / **ShiratakiMix** is a merge model that specializes in 2D-s... | 13,714 | [
[
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-0.041717529296875,
-0.0347900390625,
0.016769... |
bertin-project/bertin-roberta-base-spanish | 2023-03-21T08:31:01.000Z | [
"transformers",
"pytorch",
"jax",
"tensorboard",
"safetensors",
"roberta",
"fill-mask",
"spanish",
"es",
"dataset:bertin-project/mc4-es-sampled",
"arxiv:2107.07253",
"arxiv:1907.11692",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | bertin-project | null | null | bertin-project/bertin-roberta-base-spanish | 29 | 2,853 | transformers | 2022-03-02T23:29:05 | ---
language: es
license: cc-by-4.0
tags:
- spanish
- roberta
pipeline_tag: fill-mask
datasets:
- bertin-project/mc4-es-sampled
widget:
- text: Fui a la librería a comprar un <mask>.
---
- [Version v2](https://huggingface.co/bertin-project/bertin-roberta-base-spanish/tree/v2) (default): April 28th, 2022
- [Version v1]... | 44,629 | [
[
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ku-nlp/deberta-v2-tiny-japanese | 2023-03-23T16:13:46.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta-v2",
"fill-mask",
"deberta",
"ja",
"dataset:wikipedia",
"dataset:cc100",
"dataset:oscar",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | ku-nlp | null | null | ku-nlp/deberta-v2-tiny-japanese | 2 | 2,853 | transformers | 2023-01-18T13:36:09 | ---
language: ja
license: cc-by-sa-4.0
library_name: transformers
tags:
- deberta
- deberta-v2
- fill-mask
datasets:
- wikipedia
- cc100
- oscar
metrics:
- accuracy
mask_token: "[MASK]"
widget:
- text: "京都 大学 で 自然 言語 処理 を [MASK] する 。"
---
# Model Card for Japanese DeBERTa V2 tiny
## Model descriptio... | 3,473 | [
[
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-0.040313720703125,
-0.05279541015625,
0.005... |
facebook/convnext-xlarge-384-22k-1k | 2023-06-13T19:40:50.000Z | [
"transformers",
"pytorch",
"tf",
"convnext",
"image-classification",
"vision",
"dataset:imagenet-21k",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | facebook | null | null | facebook/convnext-xlarge-384-22k-1k | 3 | 2,852 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-21k
- 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: Teap... | 3,126 | [
[
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0.0335693359375,
-0.04754638671875,
-0.020263671875,
-0.039215087890625,
-0.00162... |
ehsanaghaei/SecureBERT | 2023-05-12T15:36:19.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"doi:10.57967/hf/0042",
"license:bigscience-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | ehsanaghaei | null | null | ehsanaghaei/SecureBERT | 16 | 2,838 | transformers | 2022-10-07T23:05:49 | ---
license: bigscience-openrail-m
---
# SecureBERT: A Domain-Specific Language Model for Cybersecurity
SecureBERT is a domain-specific language model based on RoBERTa which is trained on a huge amount of cybersecurity data and fine-tuned/tweaked to understand/represent cybersecurity textual data.
[SecureBERT](https:... | 3,766 | [
[
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microsoft/DialogRPT-updown | 2021-05-23T09:19:13.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-classification",
"arxiv:2009.06978",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-classification | microsoft | null | null | microsoft/DialogRPT-updown | 9 | 2,833 | transformers | 2022-03-02T23:29:05 | # Demo
Please try this [➤➤➤ Colab Notebook Demo (click me!)](https://colab.research.google.com/drive/1cAtfkbhqsRsT59y3imjR1APw3MHDMkuV?usp=sharing)
| Context | Response | `updown` score |
| :------ | :------- | :------------: |
| I love NLP! | Here’s a free textbook (URL) in case anyone needs it. | 0.613 |
| I... | 2,704 | [
[
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-0.0289459228515625,
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0.003... |
PlanTL-GOB-ES/roberta-base-bne-sqac | 2022-11-30T10:35:15.000Z | [
"transformers",
"pytorch",
"roberta",
"question-answering",
"national library of spain",
"spanish",
"bne",
"qa",
"question answering",
"es",
"dataset:PlanTL-GOB-ES/SQAC",
"arxiv:1907.11692",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_spa... | question-answering | PlanTL-GOB-ES | null | null | PlanTL-GOB-ES/roberta-base-bne-sqac | 3 | 2,832 | transformers | 2022-03-02T23:29:04 | ---
language:
- es
license: apache-2.0
tags:
- "national library of spain"
- "spanish"
- "bne"
- "qa"
- "question answering"
datasets:
- "PlanTL-GOB-ES/SQAC"
metrics:
- "f1"
- "exact match"
model-index:
- name: roberta-base-bne-sqac
results:
- task:
type: question-answering
dataset:
t... | 7,470 | [
[
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0.033203125,
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0.0253601074218... |
svalabs/cross-electra-ms-marco-german-uncased | 2021-06-10T07:20:46.000Z | [
"transformers",
"pytorch",
"electra",
"text-classification",
"arxiv:1908.10084",
"arxiv:1611.09268",
"arxiv:2104.08663",
"arxiv:2104.12741",
"arxiv:2010.02666",
"endpoints_compatible",
"region:us"
] | text-classification | svalabs | null | null | svalabs/cross-electra-ms-marco-german-uncased | 4 | 2,832 | transformers | 2022-03-02T23:29:05 | # SVALabs - German Uncased Electra Cross-Encoder
In this repository, we present our german, uncased cross-encoder for Passage Retrieval.
This model was trained on the basis of the german electra uncased model from the [german-nlp-group](https://huggingface.co/german-nlp-group/electra-base-german-uncased) and finetune... | 9,543 | [
[
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-0.047576904296875,
0.0175... |
AUTOMATIC/promptgen-majinai-unsafe | 2023-01-18T21:14:07.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"en",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | AUTOMATIC | null | null | AUTOMATIC/promptgen-majinai-unsafe | 12 | 2,831 | transformers | 2023-01-18T21:07:40 | ---
license: mit
language:
- en
library_name: transformers
pipeline_tag: text-generation
---
Finetuned `distilgpt2` for 40 epochs on 825 prompts scraped from majinai.art. Weights/emphasis stripped. Includes negative prompts.
Intended for use with https://github.com/AUTOMATIC1111/stable-diffusion-webui-promptgen
| 315 | [
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-0.023910522460937... |
Fictiverse/Voxel_XL_Lora | 2023-08-08T19:39:26.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:openrail",
"has_space",
"region:us"
] | text-to-image | Fictiverse | null | null | Fictiverse/Voxel_XL_Lora | 14 | 2,830 | diffusers | 2023-07-29T15:28:30 | ---
license: openrail
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: voxel style
widget:
- text: voxel style
---
Voxel XL Lora for [SDXL 1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0) stable diffusion ... | 939 | [
[
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0.033905029296875,
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-0.07379150390625,
-0.045684814453125,
-0... |
efederici/e5-base-multilingual-4096 | 2023-08-07T16:18:50.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"feature-extraction",
"sentence-similarity",
"custom_code",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
... | sentence-similarity | efederici | null | null | efederici/e5-base-multilingual-4096 | 8 | 2,826 | transformers | 2023-06-15T20:59:34 | ---
language:
- multilingual
- af
- am
- ar
- as
- az
- be
- bg
- bn
- br
- bs
- ca
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- he
- hi
- hr
- hu
- hy
- id
- is
- it
- ja
- jv
- ka
- kk
- km
- kn
- ko
- ku
- ky
- la
- lo
- lt
- lv
- mg
- mk
- ml
- mn
- mr
- ms
- my
-... | 2,744 | [
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0.0128326416015625,
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-0.05816650390625,
-0.0665283203125,
0.031555... |
lightblue/openorca_stx | 2023-10-02T10:25:36.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ja",
"dataset:snow_simplified_japanese_corpus",
"dataset:khalidalt/tydiqa-goldp",
"dataset:csebuetnlp/xlsum",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | lightblue | null | null | lightblue/openorca_stx | 17 | 2,824 | transformers | 2023-09-12T09:29:10 | ---
license: llama2
datasets:
- snow_simplified_japanese_corpus
- khalidalt/tydiqa-goldp
- csebuetnlp/xlsum
language:
- ja
---
# About
This model is Lightblue's QLoRA finetune of OpenOrca's [Open-Orca/OpenOrcaxOpenChat-Preview2-13B](https://huggingface.co/Open-Orca/OpenOrcaxOpenChat-Preview2-13B) model on Japanese fine... | 6,379 | [
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0.006... |
Yntec/Classic | 2023-10-05T23:40:47.000Z | [
"diffusers",
"Anime",
"Cartoon",
"Zovya",
"DucHaiten",
"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/Classic | 2 | 2,816 | diffusers | 2023-10-05T22:42:35 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Cartoon
- Zovya
- DucHaiten
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# Classic
A mix of DucHaitenClassicAnime and CartoonStyleClassic by Zovya to make a model of the best from ... | 1,347 | [
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HooshvareLab/bert-base-parsbert-armanner-uncased | 2021-05-18T20:42:28.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"token-classification",
"fa",
"arxiv:2005.12515",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | HooshvareLab | null | null | HooshvareLab/bert-base-parsbert-armanner-uncased | 2 | 2,813 | transformers | 2022-03-02T23:29:04 | ---
language: fa
license: apache-2.0
---
## ParsBERT: Transformer-based Model for Persian Language Understanding
ParsBERT is a monolingual language model based on Google’s BERT architecture with the same configurations as BERT-Base.
Paper presenting ParsBERT: [arXiv:2005.12515](https://arxiv.org/abs/2005.12515)
Al... | 4,714 | [
[
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-0.0189208984375,
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0.0236358642578125,
-0.039215087890625,
-0.0584716796875,
-0.0430908203125,
-0.004104614257... |
stabilityai/stable-diffusion-2-1-unclip-small | 2023-04-12T15:49:28.000Z | [
"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-small | 28 | 2,813 | diffusers | 2023-03-24T16:35:48 | ---
license: openrail++
tags:
- stable-diffusion
- text-to-image
pinned: true
---
# Stable Diffusion v2-1-unclip (small) 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... | 8,150 | [
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0.00522613525390625,
-0.03472900390625,
-0.0059051513671875,
0.03302001953125,
-0.0298004150390625,
-0.0318603515625,
-0.05059814453125,
-0.... |
ai-forever/rugpt3medium_based_on_gpt2 | 2023-11-03T12:50:46.000Z | [
"transformers",
"pytorch",
"PyTorch",
"Transformers",
"ru",
"arxiv:2309.10931",
"endpoints_compatible",
"has_space",
"region:us"
] | null | ai-forever | null | null | ai-forever/rugpt3medium_based_on_gpt2 | 15 | 2,801 | transformers | 2022-03-02T23:29:05 | ---
language:
- ru
tags:
- PyTorch
- Transformers
thumbnail: "https://github.com/sberbank-ai/ru-gpts"
---
# rugpt3medium\_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... | 1,266 | [
[
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0.006191253662109375,
-0.03704833984375,
-0.01505279541015625,
-0.045867919921... |
01-ai/Yi-34B | 2023-11-06T14:39:09.000Z | [
"transformers",
"pytorch",
"safetensors",
"Yi",
"text-generation",
"custom_code",
"license:other",
"has_space",
"region:us"
] | text-generation | 01-ai | null | null | 01-ai/Yi-34B | 442 | 2,800 | transformers | 2023-11-01T07:03:50 | ---
license: other
license_name: yi-license
license_link: LICENSE
---
<div align="center">
<img src="./Yi.svg" width="200px">
</div>
## Introduction
The **Yi** series models are large language models trained from scratch by
developers at [01.AI](https://01.ai/). The first public release contains two
bilingual(Engli... | 5,825 | [
[
-0.037017822265625,
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-0.0016927719116210938,
-0.041473388671875,
0.0110015869140625,
0.036895751953125,
-0.052825927734375,
-0.04541015625,
-0.0458984375,
... |
Habana/swin | 2023-07-25T21:36:24.000Z | [
"optimum_habana",
"license:apache-2.0",
"region:us"
] | null | Habana | null | null | Habana/swin | 0 | 2,788 | null | 2022-08-23T08:10:57 | ---
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... | 2,455 | [
[
-0.05633544921875,
-0.052764892578125,
0.01517486572265625,
0.00946044921875,
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-0.0004394054412841797,
-0.04669189453125,
0.010162353515625,
0.01824951171875,
-0.035186767578125,
-0.01096343994140625,
-0.031463623046875,
... |
vineetsharma/customer-support-intent-albert | 2023-10-03T17:19:05.000Z | [
"transformers",
"pytorch",
"albert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | vineetsharma | null | null | vineetsharma/customer-support-intent-albert | 6 | 2,788 | transformers | 2023-09-14T05:58:30 | ---
license: apache-2.0
base_model: albert-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: customer-support-intent-albert
results: []
widget:
- text: "please help me change several items of an order"
example_title: "example 1"
- text: "i need the invoice of the last order"
example_... | 1,921 | [
[
-0.01605224609375,
-0.03424072265625,
0.0187835693359375,
0.0137786865234375,
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-0.0046844482421875,
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0.005443572998046875,
0.040924072265625,
-0.049530029296875,
-0.050140380859375,
-0.047943115234375,
... |
alaggung/bart-r3f | 2022-01-11T16:18:32.000Z | [
"transformers",
"pytorch",
"tf",
"bart",
"text2text-generation",
"summarization",
"ko",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | summarization | alaggung | null | null | alaggung/bart-r3f | 4 | 2,787 | transformers | 2022-03-02T23:29:05 | ---
language:
- ko
tags:
- summarization
widget:
- text: "[BOS]밥 ㄱ?[SEP]고고고고 뭐 먹을까?[SEP]어제 김치찌개 먹어서 한식말고 딴 거[SEP]그럼 돈까스 어때?[SEP]오 좋다 1시 학관 앞으로 오셈[SEP]ㅇㅋ[EOS]"
inference:
parameters:
max_length: 64
top_k: 5
---
# BART R3F
[2021 훈민정음 한국어 음성•자연어 인공지능 경진대회] 대화요약 부문 알라꿍달라꿍 팀의 대화요약 학습 샘플 모델을 공유합니다.
[bart-pretr... | 591 | [
[
-0.046875,
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0.041748046875,
-0.06536865234375,
-0.040618896484375,
-0.041046142578125,
0.024200439453125,
0.00396... |
it5/it5-base-news-summarization | 2022-10-18T13:43:57.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"tensorboard",
"t5",
"text2text-generation",
"italian",
"sequence-to-sequence",
"fanpage",
"ilpost",
"summarization",
"it",
"dataset:ARTeLab/fanpage",
"dataset:ARTeLab/ilpost",
"arxiv:2203.03759",
"license:apache-2.0",
"model-index",
"co2_e... | summarization | it5 | null | null | it5/it5-base-news-summarization | 3 | 2,786 | transformers | 2022-03-02T23:29:05 | ---
language:
- it
license: apache-2.0
datasets:
- ARTeLab/fanpage
- ARTeLab/ilpost
tags:
- italian
- sequence-to-sequence
- fanpage
- ilpost
- summarization
widget:
- text: "Non lo vuole sposare. E’ quanto emerge all’interno dell’ultima intervista di Raffaella Fico che, ringraziando Mancini per i buoni consigli elargi... | 8,573 | [
[
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-0.03521728515625,
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-0.0207977294921875,
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0.03173828125,
0.0210113525390625,
-0.040557861328125,
-0.06048583984375,
-0.0478515625,
0... |
naver/efficient-splade-V-large-query | 2022-07-08T13:12:08.000Z | [
"transformers",
"pytorch",
"distilbert",
"fill-mask",
"splade",
"query-expansion",
"document-expansion",
"bag-of-words",
"passage-retrieval",
"knowledge-distillation",
"document encoder",
"en",
"dataset:ms_marco",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible... | fill-mask | naver | null | null | naver/efficient-splade-V-large-query | 1 | 2,785 | transformers | 2022-07-05T10:29:54 | ---
license: cc-by-nc-sa-4.0
language: "en"
tags:
- splade
- query-expansion
- document-expansion
- bag-of-words
- passage-retrieval
- knowledge-distillation
- document encoder
datasets:
- ms_marco
---
## Efficient SPLADE
Efficient SPLADE model for passage retrieval. This architecture uses two distinct models for quer... | 2,934 | [
[
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-0.050689697265625,
0.0318603515625,
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-0.0200653076171875,
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0.0095062255859375,
0.02508544921875,
-0.0158843994140625,
-0.035491943359375,
-0.051788330078125,
-... |
InstaDeepAI/nucleotide-transformer-v2-50m-multi-species | 2023-10-11T12:29:26.000Z | [
"transformers",
"pytorch",
"fill-mask",
"DNA",
"biology",
"genomics",
"custom_code",
"dataset:InstaDeepAI/multi_species_genome",
"dataset:InstaDeepAI/nucleotide_transformer_downstream_tasks",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us... | fill-mask | InstaDeepAI | null | null | InstaDeepAI/nucleotide-transformer-v2-50m-multi-species | 0 | 2,784 | transformers | 2023-07-27T08:31:03 | ---
license: cc-by-nc-sa-4.0
widget:
- text: ACCTGA<mask>TTCTGAGTC
tags:
- DNA
- biology
- genomics
datasets:
- InstaDeepAI/multi_species_genome
- InstaDeepAI/nucleotide_transformer_downstream_tasks
---
# nucleotide-transformer-v2-50m-multi-species
The Nucleotide Transformers are a collection of foundational language ... | 6,336 | [
[
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0.01593017578125,
-0.034027099609375,
-0.026123046875,
-0.058197021484375,
0.02180480957... |
keremberke/yolov8s-scene-classification | 2023-02-22T12:59:45.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"image-classification",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/indoor-scene-classification",
"model-index",
"region:us"
] | image-classification | keremberke | null | null | keremberke/yolov8s-scene-classification | 1 | 2,781 | ultralytics | 2023-01-27T01:40:43 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- image-classification
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.20
inference: false
datasets:
- keremberke/indoor-scene-classification
model-index:
- name: keremberke/yolov8s-scene-classification
results:
... | 2,613 | [
[
-0.03460693359375,
-0.0266265869140625,
0.02874755859375,
-0.023712158203125,
-0.006954193115234375,
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0.01451873779296875,
-0.0274810791015625,
0.01041412353515625,
0.0294952392578125,
-0.04119873046875,
-0.052459716796875,
-0.0357055664062... |
TencentARC/t2i-adapter-lineart-sdxl-1.0 | 2023-09-07T19:10:31.000Z | [
"diffusers",
"art",
"t2i-adapter",
"image-to-image",
"stable-diffusion-xl-diffusers",
"stable-diffusion-xl",
"arxiv:2302.08453",
"license:apache-2.0",
"has_space",
"diffusers:T2IAdapter",
"region:us"
] | image-to-image | TencentARC | null | null | TencentARC/t2i-adapter-lineart-sdxl-1.0 | 25 | 2,781 | diffusers | 2023-09-03T15:10:46 | ---
license: apache-2.0
base_model: stabilityai/stable-diffusion-xl-base-1.0
tags:
- art
- t2i-adapter
- image-to-image
- stable-diffusion-xl-diffusers
- stable-diffusion-xl
---
# T2I-Adapter-SDXL - Lineart
T2I Adapter is a network providing additional conditioning to stable diffusion. Each t2i checkpoint takes a dif... | 8,866 | [
[
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-0.026702880859375,
0.0239715576171875,
0.032196044921875,
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0.0078887939453125,
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-0.0002624988555908203,
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-0.03436279296875,
-0.047332763671875,
... |
keremberke/yolov8n-building-segmentation | 2023-02-22T13:00:51.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"image-segmentation",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/satellite-building-segmentation",
"model-index",
"region:us"
] | image-segmentation | keremberke | null | null | keremberke/yolov8n-building-segmentation | 1 | 2,779 | ultralytics | 2023-01-18T22:35:26 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- image-segmentation
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.21
inference: false
datasets:
- keremberke/satellite-building-segmentation
model-index:
- name: keremberke/yolov8n-building-segmentation
results:... | 2,024 | [
[
-0.035491943359375,
-0.031402587890625,
0.03790283203125,
-0.0193939208984375,
-0.0259857177734375,
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0.016265869140625,
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0.0173492431640625,
0.011962890625,
-0.044769287109375,
-0.049530029296875,
-0.028900146484375,
-0.... |
bkai-foundation-models/vietnamese-bi-encoder | 2023-10-11T17:36:46.000Z | [
"generic",
"pytorch",
"roberta",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
"vi",
"license:apache-2.0",
"region:us",
"has_space"
] | sentence-similarity | bkai-foundation-models | null | null | bkai-foundation-models/vietnamese-bi-encoder | 13 | 2,778 | generic | 2023-09-09T04:19:59 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
library_name: generic
language:
- vi
widget:
- source_sentence: Làm thế nào Đại học Bách khoa Hà Nội thu hút sinh viên quốc tế?
sentences:
- >-
Đại học Bách khoa Hà Nội đã phát triển các... | 5,894 | [
[
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-0.058685302734375,
0.021087646484375,
0.01558685302734375,
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-0.01268768310546875,
-0.0028553009033203125,
0.008880615234375,
0.037322998046875,
-0.039520263671875,
-0.045928955078125,
-0.052276611328125,
... |
sweetcocoa/pop2piano | 2023-08-29T00:29:11.000Z | [
"transformers",
"pytorch",
"automatic-speech-recognition",
"arxiv:2211.00895",
"arxiv:1910.10683",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | sweetcocoa | null | null | sweetcocoa/pop2piano | 4 | 2,774 | transformers | 2022-11-05T14:15:28 | ---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/model-cards
{}
---
# POP2PIANO
Pop2Piano, a Transformer network that generates piano covers given waveforms of pop
music.
# Model Details
Pop... | 4,922 | [
[
-0.039459228515625,
-0.04241943359375,
0.0143585205078125,
0.031951904296875,
0.00635528564453125,
-0.0038166046142578125,
-0.0288848876953125,
-0.023712158203125,
0.0297393798828125,
0.035430908203125,
-0.0626220703125,
-0.0205078125,
-0.031890869140625,
-0... |
stablediffusionapi/uber-realistic-porn-merge | 2023-09-30T13:05:09.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/uber-realistic-porn-merge | 2 | 2,774 | diffusers | 2023-09-30T13:03:55 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# Uber Realistic Porn Merge (URPM) [LEGACY Version] API Inference
![generated from stablediffusionapi.com](https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations... | 2,610 | [
[
-0.038726806640625,
-0.06231689453125,
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0.051116943359375,
-0.05908203125,
-0.0625,
-0.0308380126953125,
-0.0013608932495117188,
... |
google/byt5-xl | 2023-01-24T16:37:02.000Z | [
"transformers",
"pytorch",
"tf",
"t5",
"text2text-generation",
"multilingual",
"af",
"am",
"ar",
"az",
"be",
"bg",
"bn",
"ca",
"ceb",
"co",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fil",
"fr",
"fy",
"ga",
"gd",
"gl",
... | text2text-generation | google | null | null | google/byt5-xl | 8 | 2,773 | transformers | 2022-03-02T23:29:05 | ---
language:
- multilingual
- af
- am
- ar
- az
- be
- bg
- bn
- ca
- ceb
- co
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fil
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- haw
- hi
- hmn
- ht
- hu
- hy
- ig
- is
- it
- iw
- ja
- jv
- ka
- kk
- km
- kn
- ko
- ku
- ky
- la
- lb
- lo
- lt
- lv
- mg
- mi
- mk
-... | 4,205 | [
[
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-0.02001953125,
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0.011016845703125,
-0.0274505615234375,
0.0035533905029296875,
-0.0166168212890625,
-0.045440673828125,
-0.0017251968383789062,
0.02471923828125,
-0.04254150390625,
-0.037506103515625,
-0.058197021484375,
... |
aubmindlab/bert-base-arabertv02-twitter | 2023-03-23T16:26:59.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"bert",
"fill-mask",
"ar",
"dataset:wikipedia",
"dataset:Osian",
"dataset:1.5B-Arabic-Corpus",
"dataset:oscar-arabic-unshuffled",
"dataset:Assafir(private)",
"dataset:Twitter(private)",
"arxiv:2003.00104",
"autotrain_compatible",
... | fill-mask | aubmindlab | null | null | aubmindlab/bert-base-arabertv02-twitter | 2 | 2,772 | transformers | 2022-03-02T23:29:05 | ---
language: ar
datasets:
- wikipedia
- Osian
- 1.5B-Arabic-Corpus
- oscar-arabic-unshuffled
- Assafir(private)
- Twitter(private)
widget:
- text: " عاصمة لبنان هي [MASK] ."
---
<img src="https://raw.githubusercontent.com/aub-mind/arabert/master/arabert_logo.png" width="100" align="center"/>
# AraBERTv0.2-Twitter... | 4,517 | [
[
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0.007503509521484375,
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0.0144500732421875,
-0.0452880859375,
-0.045989990234375,
-0.061859130859375,
0.0... |
google/matcha-base | 2023-07-22T19:36:43.000Z | [
"transformers",
"pytorch",
"pix2struct",
"text2text-generation",
"matcha",
"visual-question-answering",
"en",
"fr",
"ro",
"de",
"multilingual",
"arxiv:2212.09662",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | visual-question-answering | google | null | null | google/matcha-base | 21 | 2,772 | transformers | 2023-04-03T11:03:02 | ---
language:
- en
- fr
- ro
- de
- multilingual
inference: false
pipeline_tag: visual-question-answering
license: apache-2.0
tags:
- matcha
---
# Model card for MatCha - base model
<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/matcha_architect... | 4,034 | [
[
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carlosdanielhernandezmena/wav2vec2-large-xlsr-53-spanish-ep5-944h | 2023-10-23T21:04:43.000Z | [
"transformers",
"pytorch",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"spanish",
"xlrs-53-spanish",
"ciempiess",
"cimpiess-unam",
"es",
"dataset:ciempiess/ciempiess_light",
"dataset:ciempiess/ciempiess_balance",
"dataset:ciempiess/ciempiess_fem",
"dataset:common_... | automatic-speech-recognition | carlosdanielhernandezmena | null | null | carlosdanielhernandezmena/wav2vec2-large-xlsr-53-spanish-ep5-944h | 1 | 2,770 | transformers | 2022-12-01T08:19:03 | ---
language: es
datasets:
- ciempiess/ciempiess_light
- ciempiess/ciempiess_balance
- ciempiess/ciempiess_fem
- common_voice
- hub4ne_es_LDC98S74
- callhome_es_LDC96S35
tags:
- audio
- automatic-speech-recognition
- spanish
- xlrs-53-spanish
- ciempiess
- cimpiess-unam
license: cc-by-4.0
model-index:
- name: wav2vec2-... | 8,393 | [
[
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0.0175933837890625,
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0.00811... |
philschmid/distilbert-base-multilingual-cased-sentiment-2 | 2022-01-24T15:08:50.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:amazon_reviews_multi",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | philschmid | null | null | philschmid/distilbert-base-multilingual-cased-sentiment-2 | 2 | 2,767 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-multilingual-cased-sentiment-2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: amazon_reviews_multi
ty... | 2,316 | [
[
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-0.0531005859375,... |
google/t5_xxl_true_nli_mixture | 2023-03-23T10:55:45.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:tals/vitaminc",
"dataset:SetFit/mnli",
"dataset:snli",
"dataset:fever",
"dataset:paws",
"dataset:scitail",
"arxiv:2204.04991",
"arxiv:1508.05326",
"arxiv:1904.01130",
"arxiv:2103.08541",
"license:apache-2.0",
"au... | text2text-generation | google | null | null | google/t5_xxl_true_nli_mixture | 18 | 2,765 | transformers | 2022-12-07T16:51:46 | ---
license: apache-2.0
datasets:
- tals/vitaminc
- SetFit/mnli
- snli
- fever
- paws
- scitail
language:
- en
---
This is an NLI model based on T5-XXL that predicts a binary label ('1' - Entailment, '0' - No entailment).
It is trained similarly to the NLI model described in the [TRUE paper (Honovich et al, 2022)](htt... | 1,934 | [
[
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-0.05462646484375,
-0.02944946289062... |
philschmid/flan-t5-base-samsum | 2022-12-23T19:32:18.000Z | [
"transformers",
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"generated_from_trainer",
"dataset:samsum",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | philschmid | null | null | philschmid/flan-t5-base-samsum | 72 | 2,765 | transformers | 2022-12-23T19:26:30 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: flan-t5-base-samsum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: samsum
type: samsum
config: samsum
split... | 2,232 | [
[
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-0.049072265625,
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-0.00... |
google/vit-base-patch32-384 | 2023-09-11T20:35:12.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"vit",
"image-classification",
"vision",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2010.11929",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | google | null | null | google/vit-base-patch32-384 | 13 | 2,763 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
- imagenet-21k
---
# Vision Transformer (base-sized model)
Vision Transformer (ViT) model pre-trained on ImageNet-21k (14 million images, 21,843 classes) at resolution 224x224, and fine-tuned on ImageNet 2012 (1 million images, 1,0... | 5,849 | [
[
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-... |
michiyasunaga/BioLinkBERT-base | 2022-03-31T00:51:21.000Z | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"exbert",
"linkbert",
"biolinkbert",
"fill-mask",
"question-answering",
"text-classification",
"token-classification",
"en",
"dataset:pubmed",
"arxiv:2203.15827",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | michiyasunaga | null | null | michiyasunaga/BioLinkBERT-base | 30 | 2,763 | transformers | 2022-03-08T07:22:12 | ---
license: apache-2.0
language: en
datasets:
- pubmed
tags:
- bert
- exbert
- linkbert
- biolinkbert
- feature-extraction
- fill-mask
- question-answering
- text-classification
- token-classification
widget:
- text: "Sunitinib is a tyrosine kinase inhibitor"
---
## BioLinkBERT-base
BioLinkBERT-... | 3,823 | [
[
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0.025238037109375,
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0.0248565673828125,
0.0005712509155273438,
-0.023406982421875,
-0.049560546875,
-0.0528869628906... |
microsoft/codereviewer | 2023-01-24T17:13:09.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"code",
"arxiv:2203.09095",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | microsoft | null | null | microsoft/codereviewer | 69 | 2,762 | transformers | 2022-07-25T06:29:35 | ---
language: code
license: apache-2.0
---
# CodeReviewer
## Model description
CodeReviewer is a model pre-trained with code change and code review data to support code review tasks.
[CodeReviewer: Pre-Training for Automating Code Review Activities.](https://arxiv.org/abs/2203.09095) Zhiyu Li, Shuai Lu, Daya Guo, N... | 956 | [
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jonatasgrosman/wav2vec2-large-xlsr-53-spanish | 2022-12-14T01:59:35.000Z | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"es",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_6_0",
"robust-speech-event",
"speech",
"xlsr-fine-tuning-week",
"dataset:common_voice",
"dataset:mozilla-foundation/common_voice_6_0",
"lice... | automatic-speech-recognition | jonatasgrosman | null | null | jonatasgrosman/wav2vec2-large-xlsr-53-spanish | 21 | 2,761 | transformers | 2022-03-02T23:29:05 | ---
language: es
license: apache-2.0
datasets:
- common_voice
- mozilla-foundation/common_voice_6_0
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- es
- hf-asr-leaderboard
- mozilla-foundation/common_voice_6_0
- robust-speech-event
- speech
- xlsr-fine-tuning-week
model-index:
- name: XLSR Wav2Vec2 ... | 5,612 | [
[
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0.007167816162... |
hemagamal/mdeberta_Quran_qa | 2023-05-12T17:24:14.000Z | [
"transformers",
"pytorch",
"tensorboard",
"deberta-v2",
"question-answering",
"generated_from_trainer",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | hemagamal | null | null | hemagamal/mdeberta_Quran_qa | 0 | 2,760 | transformers | 2023-05-12T17:07:25 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: mdeberta_Quran_qa
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. -->
# mdeberta_Quran_qa
This ... | 1,736 | [
[
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-0.06610107421875,
-0.046966552734375,
-0.0446472167968... |
keremberke/yolov8n-pcb-defect-segmentation | 2023-02-22T13:02:17.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"image-segmentation",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/pcb-defect-segmentation",
"model-index",
"region:us"
] | image-segmentation | keremberke | null | null | keremberke/yolov8n-pcb-defect-segmentation | 2 | 2,759 | ultralytics | 2023-01-28T06:32:15 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- image-segmentation
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.21
inference: false
datasets:
- keremberke/pcb-defect-segmentation
model-index:
- name: keremberke/yolov8n-pcb-defect-segmentation
results:
- t... | 2,066 | [
[
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-0.0458984375,
-0.020111083984375,
-0.0165... |
bigscience/bloomz-1b1 | 2023-05-27T17:26:45.000Z | [
"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-1b1 | 30 | 2,758 | transformers | 2022-10-08T16:16:01 | ---
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... | 24,189 | [
[
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0.032012939453125,
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-0.0699462890625,
-0.039886474609375,
-0.040618896484375,
0.01091766... |
facebook/xlm-roberta-xxl | 2022-08-08T07:19:25.000Z | [
"transformers",
"pytorch",
"xlm-roberta-xl",
"fill-mask",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"fy",
"ga",
"gd",
"gl",
"gu",
... | fill-mask | facebook | null | null | facebook/xlm-roberta-xxl | 8 | 2,756 | transformers | 2022-03-02T23:29:05 | ---
language:
- multilingual
- af
- am
- ar
- as
- az
- be
- bg
- bn
- br
- bs
- ca
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- he
- hi
- hr
- hu
- hy
- id
- is
- it
- ja
- jv
- ka
- kk
- km
- kn
- ko
- ku
- ky
- la
- lo
- lt
- lv
- mg
- mk
- ml
- mn
- mr
- ms
- my
... | 5,031 | [
[
-0.037017822265625,
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0.023590087890625,
0.0467529296875,
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-0.040496826171875,
-0.04937744140625,
0.0... |
passionMan/categorizer | 2023-10-23T10:23:05.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | passionMan | null | null | passionMan/categorizer | 0 | 2,756 | transformers | 2023-10-23T10:20:27 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: categorizer
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. -->
# cat... | 1,506 | [
[
-0.027801513671875,
-0.03997802734375,
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0.0148162841796875,
-0.02593994140625,
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0.0195159912109375,
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... |
kakaobrain/karlo-v1-alpha | 2023-02-06T18:23:45.000Z | [
"diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"has_space",
"diffusers:UnCLIPPipeline",
"region:us"
] | text-to-image | kakaobrain | null | null | kakaobrain/karlo-v1-alpha | 77 | 2,755 | diffusers | 2022-12-18T22:57:09 | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
# Karlo v1 alpha
Karlo is a text-conditional image generation model based on OpenAI's unCLIP architecture with the improvement over the standard super-resolution model from 64px to 256px, recovering high-frequency details only in the small number of denoisi... | 5,830 | [
[
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0.0330810546875,
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-0.053009033203125,
-0.056365966796875,
0.02... |
asahi417/tner-xlm-roberta-large-all-english | 2021-02-12T23:48:50.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"token-classification",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | asahi417 | null | null | asahi417/tner-xlm-roberta-large-all-english | 1 | 2,750 | transformers | 2022-03-02T23:29:05 | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-large-all-english")
model =... | 420 | [
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0.04168701171875,
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-0.0275421142578125,
-0.07000732421875,
... |
purplegenie97/sindiandish | 2023-11-02T22:29:34.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | purplegenie97 | null | null | purplegenie97/sindiandish | 0 | 2,750 | diffusers | 2023-11-02T22:24:57 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### SIndianDish Dreambooth model trained by purplegenie97 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 C... | 1,070 | [
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timm/densenet201.tv_in1k | 2023-04-21T22:54:58.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1608.06993",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/densenet201.tv_in1k | 0 | 2,749 | timm | 2023-04-21T22:54:45 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for densenet201.tv_in1k
A DenseNet image classification model. Trained on ImageNet-1k (original torchvision weights).
## Model Details
- **Model Type:** Image classification / feature backbone
- **M... | 3,500 | [
[
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0.021759033203125,
0.0421142578125,
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elastic/distilbert-base-uncased-finetuned-conll03-english | 2023-08-28T13:37:40.000Z | [
"transformers",
"pytorch",
"safetensors",
"distilbert",
"token-classification",
"en",
"dataset:conll2003",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | elastic | null | null | elastic/distilbert-base-uncased-finetuned-conll03-english | 26 | 2,747 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: apache-2.0
datasets:
- conll2003
model-index:
- name: elastic/distilbert-base-uncased-finetuned-conll03-english
results:
- task:
type: token-classification
name: Token Classification
dataset:
name: conll2003
type: conll2003
config: conll2003
split: v... | 3,108 | [
[
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microsoft/kosmos-2-patch14-224 | 2023-10-27T16:01:17.000Z | [
"transformers",
"pytorch",
"kosmos-2",
"text2text-generation",
"image-captioning",
"image-to-text",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us",
"has_space"
] | image-to-text | microsoft | null | null | microsoft/kosmos-2-patch14-224 | 37 | 2,744 | transformers | 2023-10-02T16:09:33 | ---
pipeline_tag: image-to-text
tags:
- image-captioning
languages:
- en
license: mit
---
# Kosmos-2: Grounding Multimodal Large Language Models to the World
<a href="https://huggingface.co/microsoft/kosmos-2-patch14-224/resolve/main/annotated_snowman.jpg" target="_blank"><figure><img src="https://huggingface.co/micro... | 15,759 | [
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0.023483276... |
keremberke/yolov8n-chest-xray-classification | 2023-02-22T13:01:21.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"image-classification",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/chest-xray-classification",
"model-index",
"region:us"
] | image-classification | keremberke | null | null | keremberke/yolov8n-chest-xray-classification | 0 | 2,743 | ultralytics | 2023-01-27T22:52:36 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- image-classification
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.21
inference: false
datasets:
- keremberke/chest-xray-classification
model-index:
- name: keremberke/yolov8n-chest-xray-classification
results:... | 1,795 | [
[
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-0... |
timm/convnext_large.fb_in22k_ft_in1k_384 | 2023-03-31T22:12:07.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_large.fb_in22k_ft_in1k_384 | 0 | 2,742 | timm | 2022-12-13T07:11:09 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for convnext_large.fb_in22k_ft_in1k_384
A ConvNeXt image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model Details
- **Model Ty... | 15,739 | [
[
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... |
keremberke/yolov8s-protective-equipment-detection | 2023-02-22T13:03:47.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"object-detection",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/protective-equipment-detection",
"model-index",
"region:us"
] | object-detection | keremberke | null | null | keremberke/yolov8s-protective-equipment-detection | 2 | 2,741 | ultralytics | 2023-01-29T10:30:51 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- object-detection
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.21
inference: false
datasets:
- keremberke/protective-equipment-detection
model-index:
- name: keremberke/yolov8s-protective-equipment-detection
re... | 1,977 | [
[
-0.029449462890625,
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0.0166015625,
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-0.053802490234375,
-0.028656005859375,
-0.009... |
Yntec/Noosphere_v3_CVAE | 2023-07-24T05:36:29.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"skumerz",
"Rexts",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/Noosphere_v3_CVAE | 0 | 2,735 | diffusers | 2023-07-24T05:18:51 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- skumerz
- Rexts
---
# Noosphere v3 Color 101 VAE
The ultimatwe version of Noosphere v3 by skumerz! Better definition, better contrast and saturatio... | 550 | [
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-0... |
sobabeats/Evt_V4-preview | 2023-04-17T11:08:06.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | sobabeats | null | null | sobabeats/Evt_V4-preview | 0 | 2,734 | diffusers | 2023-04-17T11:08:06 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
duplicated_from: haor/Evt_V4-preview
---
# Evt_V4-preview
EVT series is an experimental project for finetune with large datasets on animation style model.
Evt_V4 uses a lar... | 5,488 | [
[
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0.014312... |
emilianJR/AnyLORA | 2023-05-25T12:20:30.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | emilianJR | null | null | emilianJR/AnyLORA | 30 | 2,731 | diffusers | 2023-03-29T05:59:21 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
**AnyLORA** is the diffuser that is highly compatible with **Civitai's** LORA weights.
Basically, it is just a converted version of [Lykon/AnyLORA][https://huggingface... | 4,894 | [
[
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-0.036651611328125,
-0.03289794921875,
-0.00791168... |
SnypzZz/Llama2-13b-Language-translate | 2023-10-21T11:30:49.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"mbart",
"text2text-generation",
"text-generation-inference",
"code",
"PyTorch",
"multilingual",
"ar",
"cs",
"de",
"en",
"es",
"et",
"fi",
"fr",
"gu",
"hi",
"it",
"ja",
"kk",
"ko",
"lt",
"lv",
"my",
"ne",
"nl",
"ro",
... | text2text-generation | SnypzZz | null | null | SnypzZz/Llama2-13b-Language-translate | 24 | 2,729 | transformers | 2023-10-04T07:43:41 | ---
language:
- multilingual
- ar
- cs
- de
- en
- es
- et
- fi
- fr
- gu
- hi
- it
- ja
- kk
- ko
- lt
- lv
- my
- ne
- nl
- ro
- ru
- si
- tr
- vi
- zh
- af
- az
- bn
- fa
- he
- hr
- id
- ka
- km
- mk
- ml
- mn
- mr
- pl
- ps
- pt
- sv
- sw
- ta
- te
- th
- tl
- uk
- ur
- xh
- gl
- sl
tags:
- transformers
- text-gen... | 4,041 | [
[
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... |
timm/convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384 | 2023-03-31T22:31:47.000Z | [
"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_384 | 1 | 2,725 | timm | 2023-03-31T22:29:09 | ---
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_384
A ConvNeXt image classification model. CLIP image tower weights pretrained in [OpenCLIP](https://github.com/mlfoundations/open_cli... | 18,581 | [
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-0.0... |
timm/eva02_base_patch14_224.mim_in22k | 2023-03-31T05:44:59.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2303.11331",
"arxiv:2303.15389",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/eva02_base_patch14_224.mim_in22k | 2 | 2,724 | timm | 2023-03-31T04:13:21 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
---
# Model card for eva02_base_patch14_224.mim_in22k
An EVA02 feature / representation model. Pretrained on ImageNet-22k with masked image modeling (using EVA-CLIP as a MIM teacher) by paper authors.
EVA-02 models are vision transformers with mea... | 5,280 | [
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0.0272674560546875,
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0.00643... |
goofyai/Leonardo_Ai_Style_Illustration | 2023-08-18T09:07:20.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:apache-2.0",
"has_space",
"region:us"
] | text-to-image | goofyai | null | null | goofyai/Leonardo_Ai_Style_Illustration | 9 | 2,724 | diffusers | 2023-08-18T08:33:06 | ---
license: apache-2.0
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: leonardo style,illustration,vector art
widget:
- text: leonardo style llama
---
# Leonardo Ai Style Illustraion
## Support me in upgrading my 3060 to a 40xx GPU as m... | 737 | [
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textattack/bert-base-uncased-rotten-tomatoes | 2021-05-20T07:46:20.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"text-classification",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | textattack | null | null | textattack/bert-base-uncased-rotten-tomatoes | 1 | 2,719 | transformers | 2022-03-02T23:29:05 | ## TextAttack Model Card
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 16, a learning
rate of 2e-05, and a maximum sequence lengt... | 673 | [
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0.0311737060546875,
-0.03875732421875,
-0.0504150390625,
-0.046173095703125... |
sd-dreambooth-library/EpicMixVirtualRealismv6 | 2023-07-15T08:14:40.000Z | [
"diffusers",
"realism",
"stable diffusion",
"epicmix",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | sd-dreambooth-library | null | null | sd-dreambooth-library/EpicMixVirtualRealismv6 | 5 | 2,718 | diffusers | 2023-04-15T08:40:05 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- realism
- stable diffusion
- epicmix
---
This is the Realism you've been PROBABLY not waiting for, but is getting anyways.
This is the branch of V3 and contains NONE OF V4 and Pastel. And none of V5
The only ... | 792 | [
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-0.00893402099609375,
-0.004676818... |
Yntec/Infinite80s | 2023-08-08T16:49:31.000Z | [
"diffusers",
"realistic",
"cinema",
"movies",
"AInfinity",
"Lykon",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/Infinite80s | 1 | 2,718 | diffusers | 2023-08-08T16:24:51 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- realistic
- cinema
- movies
- AInfinity
- Lykon
---
#Infinite 80s
The 80s never ended.
Samples and prompt:
![sample](https://cdn-uploads.huggingface.co/production/uploads/63239b8370edc53f51cd5d42/E9r7sp97_P... | 808 | [
[
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... |
Yntec/RadiantCinemagic | 2023-08-28T13:10:12.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Cinematic",
"Photography",
"Photorealism",
"Fantasy",
"Artwork",
"Landscape",
"Ciro_Negrogni",
"Hivemind111",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:Stable... | text-to-image | Yntec | null | null | Yntec/RadiantCinemagic | 1 | 2,715 | diffusers | 2023-08-28T11:28:15 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
language:
- en
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- Cinematic
- Photography
- Photorealism
- Fantasy
- Artwork
- Landscape
- Ciro_Negrogni
- Hivemind111
inference: true
---
# Radiant Cinemagic
Rad... | 1,260 | [
[
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-0.0050048828125,
... |
thibaud/controlnet-sd21-depth-diffusers | 2023-08-14T07:45:00.000Z | [
"diffusers",
"art",
"stable diffusion",
"controlnet",
"en",
"license:other",
"has_space",
"diffusers:ControlNetModel",
"region:us"
] | null | thibaud | null | null | thibaud/controlnet-sd21-depth-diffusers | 5 | 2,712 | diffusers | 2023-03-09T08:19:34 | ---
license: other
language:
- en
tags:
- art
- diffusers
- stable diffusion
- controlnet
---
Here's the first version of controlnet for stablediffusion 2.1 for diffusers
Trained on a subset of laion/laion-art
License: refers to the different preprocessor's ones.
### Depth:
![<depth> 0](https://huggingface.co/thibau... | 912 | [
[
-0.019683837890625,
-0.016510009765625,
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-0.03253173828125,
-0.06317138671875,
-0.02... |
Bhuvana/t5-base-spellchecker | 2022-01-04T12:46:55.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | Bhuvana | null | null | Bhuvana/t5-base-spellchecker | 9 | 2,708 | transformers | 2022-03-02T23:29:04 | ---
widget:
- text: "christmas is celbrated on decembr 25 evry ear"
---
# Spell checker using T5 base transformer
A simple spell checker built using T5-Base transformer. To use this model
```
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Bhuvana/t5-base-s... | 1,017 | [
[
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0.005191802978515625,
0.0219879150390625,
-0.051055908203125,
-0.05889892578125,
-0.038909912109375,... |
timm/resnetv2_50x1_bit.goog_in21k_ft_in1k | 2023-03-22T20:58:15.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:1912.11370",
"arxiv:1603.05027",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resnetv2_50x1_bit.goog_in21k_ft_in1k | 0 | 2,705 | timm | 2023-03-22T20:57:54 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for resnetv2_50x1_bit.goog_in21k_ft_in1k
A ResNet-V2-BiT (Big Transfer w/ pre-activation ResNet) image classification model. Pretrained on ImageNet-21k and fine-tuned on ImageNet-1k by ... | 4,642 | [
[
-0.03582763671875,
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-0.032958984375,
0.019378662109375,
0.03558349609375,
-0.032623291015625,
-0.046173095703125,
-0.05438232421875,
-... |
emilianJR/majicMIX_realistic_v5_preview | 2023-05-25T13:10:47.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | emilianJR | null | null | emilianJR/majicMIX_realistic_v5_preview | 2 | 2,705 | diffusers | 2023-05-25T08:03:04 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Diffuser model for this SD checkpoint:
https://civitai.com/models/43331/majicmix-realistic
**emilianJR/majicMIX_realistic** is the HuggingFace diffuser that you can u... | 1,979 | [
[
-0.04730224609375,
-0.04254150390625,
0.03997802734375,
0.03570556640625,
-0.01763916015625,
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0.01708984375,
-0.00017821788787841797,
0.0277252197265625,
0.03338623046875,
-0.059295654296875,
-0.0391845703125,
-0.041473388671875,
-0.006... |
Yntec/Crayon | 2023-10-23T04:11:13.000Z | [
"diffusers",
"Anime",
"Sketch",
"Drawing",
"ostris",
"Ikena",
"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/Crayon | 2 | 2,704 | diffusers | 2023-10-23T03:12:45 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Sketch
- Drawing
- ostris
- Ikena
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# Crayon
Yuzu 1.0 model with the Crayon Style LoRA merged in.
Sample and prompt:
![Sample](https://... | 939 | [
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-0.03900146484375,
-0.057525634765625,
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-0.0153656005859375,
0.006336212158203125,
-0.0498046875,
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0.05596923828125,
-0.08770751953125,
-0.0243377685546875,
-0.039703369140625,
-0.032... |
Kirili4ik/mbart_ruDialogSum | 2023-07-03T09:45:51.000Z | [
"transformers",
"pytorch",
"mbart",
"text2text-generation",
"ru",
"dataset:IlyaGusev/gazeta",
"dataset:samsum",
"dataset:samsum_(translated_into_Russian)",
"license:cc",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | Kirili4ik | null | null | Kirili4ik/mbart_ruDialogSum | 22 | 2,703 | transformers | 2022-03-02T23:29:04 | ---
language:
- ru
tags:
- mbart
inference:
parameters:
no_repeat_ngram_size: 4,
num_beams: 5
datasets:
- IlyaGusev/gazeta
- samsum
- samsum_(translated_into_Russian)
widget:
- text: >
Джефф: Могу ли я обучить модель 🤗 Transformers на Amazon SageMaker?
Филипп: Конечно, вы можете использовать новый ... | 2,414 | [
[
-0.01169586181640625,
-0.052978515625,
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-0.045654296875,
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-0.0131072998046875,
-0.00015974044799804688,
0.027557373046875,
0.0272979736328125,
-0.04791259765625,
-0.044189453125,
-0.05145263671875,
... |
hfl/chinese-macbert-large | 2021-05-19T19:14:18.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"zh",
"arxiv:2004.13922",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | hfl | null | null | hfl/chinese-macbert-large | 25 | 2,701 | transformers | 2022-03-02T23:29:05 | ---
language:
- zh
tags:
- bert
license: "apache-2.0"
---
<p align="center">
<br>
<img src="https://github.com/ymcui/MacBERT/raw/master/pics/banner.png" width="500"/>
<br>
</p>
<p align="center">
<a href="https://github.com/ymcui/MacBERT/blob/master/LICENSE">
<img alt="GitHub" src="https://img.... | 3,838 | [
[
-0.0310516357421875,
-0.06414794921875,
0.009246826171875,
0.01441192626953125,
-0.024017333984375,
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-0.035888671875,
-0.04498291015625,
0.033721923828125,
0.04290771484375,
-0.051422119140625,
-0.034393310546875,
-0.04248046875,
0.0057487... |
timm/vit_small_patch8_224.dino | 2023-05-06T03:21:02.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2104.14294",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_small_patch8_224.dino | 1 | 2,700 | timm | 2022-12-22T07:52:53 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
---
# Model card for vit_small_patch8_224.dino
A Vision Transformer (ViT) image feature model. Trained with Self-Supervised DINO method.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- Par... | 3,678 | [
[
-0.04278564453125,
-0.0228118896484375,
0.006622314453125,
0.00939178466796875,
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-0.0200653076171875,
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0.0246124267578125,
0.024627685546875,
-0.037078857421875,
-0.035888671875,
-0.049102783203125,
0.0... |
DGSpitzer/Cyberpunk-Anime-Diffusion | 2023-06-21T20:44:20.000Z | [
"diffusers",
"cyberpunk",
"anime",
"waifu-diffusion",
"stable-diffusion",
"aiart",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | DGSpitzer | null | null | DGSpitzer/Cyberpunk-Anime-Diffusion | 534 | 2,696 | diffusers | 2022-10-27T17:02:49 | ---
language:
- en
thumbnail: "https://huggingface.co/DGSpitzer/Cyberpunk-Anime-Diffusion/resolve/main/img/thumbnail.png"
tags:
- cyberpunk
- anime
- waifu-diffusion
- stable-diffusion
- aiart
- text-to-image
license: creativeml-openrail-m
---
<center><img src="https://huggingface.co/DGSpitzer/Cyberpunk-Anime-Diffus... | 5,409 | [
[
-0.049102783203125,
-0.07720947265625,
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0.015594482421875,
-0.02642822265625,
0.051300048828125,
0.00797271728515625,
-0.0533447265625,
-0.044952392578125,
-0.05120849609375,
-0.0... |
microsoft/beit-base-patch16-224-pt22k | 2023-05-08T14:27:35.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"beit",
"image-classification",
"vision",
"dataset:imagenet",
"dataset:imagenet-21k",
"arxiv:2106.08254",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-classification | microsoft | null | null | microsoft/beit-base-patch16-224-pt22k | 2 | 2,693 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- image-classification
- vision
datasets:
- imagenet
- imagenet-21k
---
# BEiT (base-sized model, pre-trained only)
BEiT model pre-trained in a self-supervised fashion on ImageNet-22k - also called ImageNet-21k (14 million images, 21,841 classes) at resolution 224x224. It was introduced... | 4,937 | [
[
-0.048492431640625,
-0.0224609375,
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-0.01108551025390625,
-0.0377197265625,
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0.00015366077423095703,
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0.0196380615234375,
0.04010009765625,
-0.0266571044921875,
-0.0343017578125,
-0.05438232421875,
... |
hf-internal-testing/tiny-stable-diffusion-lms-pipe | 2023-05-16T09:21:48.000Z | [
"diffusers",
"diffusers:FlaxStableDiffusionPipeline",
"region:us"
] | null | hf-internal-testing | null | null | hf-internal-testing/tiny-stable-diffusion-lms-pipe | 0 | 2,692 | diffusers | 2022-10-11T18:53:06 | ```py
from diffusers import DiffusionPipeline
pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-stable-diffusion-lms-pipe")
```
| 146 | [
[
-0.0198822021484375,
-0.0439453125,
0.0253448486328125,
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-0.003505706787109375,
-0.03302001953125,
... |
keremberke/yolov8s-building-segmentation | 2023-02-22T12:59:38.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"image-segmentation",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/satellite-building-segmentation",
"model-index",
"has_space",
"region:us"
] | image-segmentation | keremberke | null | null | keremberke/yolov8s-building-segmentation | 1 | 2,692 | ultralytics | 2023-01-26T10:26:23 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- image-segmentation
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.20
inference: false
datasets:
- keremberke/satellite-building-segmentation
model-index:
- name: keremberke/yolov8s-building-segmentation
results:... | 2,004 | [
[
-0.034454345703125,
-0.0306396484375,
0.039642333984375,
-0.020294189453125,
-0.02606201171875,
-0.01361846923828125,
0.0179595947265625,
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0.014801025390625,
0.01139068603515625,
-0.04437255859375,
-0.050201416015625,
-0.0280609130859375,
-0... |
Salesforce/instructcodet5p-16b | 2023-08-03T09:44:37.000Z | [
"transformers",
"pytorch",
"codet5p",
"text2text-generation",
"custom_code",
"arxiv:2305.07922",
"license:bsd-3-clause",
"autotrain_compatible",
"has_space",
"region:us"
] | text2text-generation | Salesforce | null | null | Salesforce/instructcodet5p-16b | 53 | 2,692 | transformers | 2023-05-16T13:28:22 | ---
license: bsd-3-clause
---
# InstructCodeT5+ 16B
## Model description
[CodeT5+](https://github.com/salesforce/CodeT5/tree/main/CodeT5+) is a new family of open code large language models with an encoder-decoder architecture that can flexibly operate in different modes (i.e. _encoder-only_, _decoder-only_, and _en... | 5,412 | [
[
-0.0328369140625,
-0.036590576171875,
0.00885772705078125,
0.0260467529296875,
-0.0124969482421875,
0.00620269775390625,
-0.0303802490234375,
-0.045379638671875,
-0.018310546875,
0.0211029052734375,
-0.0357666015625,
-0.047943115234375,
-0.03424072265625,
0.... |
LucianStorm/panda | 2023-10-16T13:55:07.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | LucianStorm | null | null | LucianStorm/panda | 1 | 2,690 | diffusers | 2023-10-16T13:51:00 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### Panda Dreambooth model trained by LucianStorm following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: AISAT-68
Sample pictures of this concept:
![0](https://huggingface... | 598 | [
[
-0.041473388671875,
-0.032989501953125,
0.0198974609375,
0.032073974609375,
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0.0294189453125,
0.028839111328125,
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0.0484619140625,
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-0.05267333984375,
-0.0299835205078125,
-0.0177154541015625,
0.0112915... |
nlpaueb/bert-base-uncased-eurlex | 2022-04-28T14:44:15.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"legal",
"fill-mask",
"en",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"region:us"
] | fill-mask | nlpaueb | null | null | nlpaueb/bert-base-uncased-eurlex | 7 | 2,688 | transformers | 2022-03-02T23:29:05 | ---
language: en
pipeline_tag: fill-mask
license: cc-by-sa-4.0
thumbnail: https://i.ibb.co/p3kQ7Rw/Screenshot-2020-10-06-at-12-16-36-PM.png
tags:
- legal
widget:
- text: "Establishing a system for the identification and registration of [MASK] animals and regarding the labelling of beef and beef products."
---
# LEGAL-... | 11,267 | [
[
-0.02044677734375,
-0.044403076171875,
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0.0345458984375,
0.04888916015625,
-0.020233154296875,
-0.040924072265625,
-0.038482666015625,
... |
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