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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ku-nlp/deberta-v2-large-japanese | 2023-05-12T14:10:35.000Z | [
"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-large-japanese | 5 | 3,781 | transformers | 2023-01-07T07:45:25 | ---
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 large
## Model description... | 4,861 | [
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ibm/knowgl-large | 2023-03-16T17:01:06.000Z | [
"transformers",
"pytorch",
"safetensors",
"bart",
"text2text-generation",
"seq2seq",
"relation-extraction",
"triple-generation",
"entity-linking",
"entity-type-linking",
"relation-linking",
"en",
"dataset:Babelscape/rebel-dataset",
"arxiv:2210.13952",
"arxiv:2207.05188",
"license:cc-by... | text2text-generation | ibm | null | null | ibm/knowgl-large | 43 | 3,774 | transformers | 2022-09-20T16:10:09 | ---
language:
- en
license: cc-by-nc-sa-4.0
tags:
- seq2seq
- relation-extraction
- triple-generation
- entity-linking
- entity-type-linking
- relation-linking
datasets: Babelscape/rebel-dataset
widget:
- text: The Italian Space Agency’s Light Italian CubeSat for Imaging of Asteroids,
or LICIACube, will fly by Dimo... | 2,835 | [
[
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timm/tf_mobilenetv3_small_075.in1k | 2023-04-27T22:49:51.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.02244",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_mobilenetv3_small_075.in1k | 0 | 3,774 | timm | 2022-12-16T05:39:15 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_mobilenetv3_small_075.in1k
A MobileNet-v3 image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model Ty... | 4,158 | [
[
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AIDA-UPM/mstsb-paraphrase-multilingual-mpnet-base-v2 | 2021-07-13T14:12:45.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"feature-extraction",
"sentence-similarity",
"multilingual",
"endpoints_compatible",
"region:us"
] | sentence-similarity | AIDA-UPM | null | null | AIDA-UPM/mstsb-paraphrase-multilingual-mpnet-base-v2 | 11 | 3,767 | transformers | 2022-03-02T23:29:04 | ---
pipeline_tag: sentence-similarity
language: "multilingual"
tags:
- feature-extraction
- sentence-similarity
- transformers
- multilingual
---
# mstsb-paraphrase-multilingual-mpnet-base-v2
This is a fine-tuned version of `paraphrase-multilingual-mpnet-base-v2` from [sentence-transformers](https://www.SBERT.net) mo... | 8,901 | [
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0.0... |
timm/convnextv2_nano.fcmae_ft_in22k_in1k | 2023-03-31T23:39:29.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2301.00808",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/convnextv2_nano.fcmae_ft_in22k_in1k | 0 | 3,767 | timm | 2023-01-05T01:55:39 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
datasets:
- imagenet-1k
- imagenet-1k
---
# Model card for convnextv2_nano.fcmae_ft_in22k_in1k
A ConvNeXt-V2 image classification model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE) and fine-tuned on ImageNet-... | 15,832 | [
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adsabs/astroBERT | 2023-05-12T19:03:53.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"pretraining",
"fill-mask",
"en",
"arxiv:2112.00590",
"license:mit",
"endpoints_compatible",
"region:us"
] | fill-mask | adsabs | null | null | adsabs/astroBERT | 8 | 3,765 | transformers | 2022-06-28T20:17:48 | ---
license: mit
language:
- en
task_categories:
- fill-mask
task_ids:
- masked-language-modeling
pipeline_tag: fill-mask
widget:
- text: "M67 is one of the most studied [MASK] clusters."
example_title: "M67"
- text: "A solar twin is a star with [MASK] parameters and chemical composition very similar to our Sun."
... | 5,720 | [
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Yntec/RealRainbows | 2023-07-23T20:12:01.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Cisney_Gassai",
"PatchMonk",
"rainbowpatch",
"Realisian",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/RealRainbows | 0 | 3,763 | diffusers | 2023-07-23T19:28:16 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- Cisney_Gassai
- PatchMonk
- rainbowpatch
- Realisian
---
# RealRainbows
A mix of Realisian by Cisney_Gassai and Rainbowpath by PatchMonk. You can u... | 489 | [
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0.01458740234... |
yiyanghkust/finbert-esg | 2022-10-17T00:36:19.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"financial-text-analysis",
"esg",
"environmental-social-corporate-governance",
"en",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | yiyanghkust | null | null | yiyanghkust/finbert-esg | 30 | 3,762 | transformers | 2022-05-12T06:53:32 | ---
language: "en"
tags:
- financial-text-analysis
- esg
- environmental-social-corporate-governance
widget:
- text: "Rhonda has been volunteering for several years for a variety of charitable community programs. "
---
ESG analysis can help investors determine a business' long-term sustainability and identify associat... | 1,521 | [
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VietAI/vit5-base | 2022-09-27T18:09:26.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"summarization",
"translation",
"question-answering",
"vi",
"dataset:cc100",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | question-answering | VietAI | null | null | VietAI/vit5-base | 3 | 3,758 | transformers | 2022-03-14T16:36:06 | ---
language: vi
datasets:
- cc100
tags:
- summarization
- translation
- question-answering
license: mit
---
# ViT5-base
State-of-the-art pretrained Transformer-based encoder-decoder model for Vietnamese.
## How to use
For more details, do check out [our Github repo](https://github.com/vietai/ViT5).
[Finetunning ... | 1,220 | [
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timm/tinynet_c.in1k | 2023-04-27T21:50:26.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2010.14819",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tinynet_c.in1k | 0 | 3,750 | timm | 2022-12-13T00:22:13 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tinynet_c.in1k
A TinyNet image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- P... | 3,928 | [
[
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mental/mental-bert-base-uncased | 2023-02-27T20:07:55.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"mental health",
"en",
"arxiv:2110.15621",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | mental | null | null | mental/mental-bert-base-uncased | 18 | 3,742 | transformers | 2022-03-02T23:29:05 | ---
license: cc-by-nc-4.0
language:
- en
library_name: transformers
tags:
- mental health
---
# MentalBERT
[MentalBERT](https://arxiv.org/abs/2110.15621) is a model initialized with BERT-Base (`uncased_L-12_H-768_A-12`) and trained with mental health-related posts collected from Reddit.
We follow the standard pretra... | 2,971 | [
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ku-nlp/deberta-v2-tiny-japanese-char-wwm | 2023-03-23T07:31:19.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta-v2",
"fill-mask",
"deberta",
"character",
"wwm",
"ja",
"dataset:wikipedia",
"dataset:cc100",
"dataset:oscar",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | ku-nlp | null | null | ku-nlp/deberta-v2-tiny-japanese-char-wwm | 0 | 3,740 | transformers | 2023-01-05T08:48:29 | ---
language: ja
license: cc-by-sa-4.0
library_name: transformers
tags:
- deberta
- deberta-v2
- fill-mask
- character
- wwm
datasets:
- wikipedia
- cc100
- oscar
metrics:
- accuracy
mask_token: "[MASK]"
widget:
- text: "京都大学で自然言語処理を[MASK][MASK]する。"
---
# Model Card for Japanese character-level D... | 3,383 | [
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citizenlab/twitter-xlm-roberta-base-sentiment-finetunned | 2022-12-02T13:49:38.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"en",
"nl",
"fr",
"pt",
"it",
"es",
"de",
"da",
"pl",
"af",
"dataset:jigsaw_toxicity_pred",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | citizenlab | null | null | citizenlab/twitter-xlm-roberta-base-sentiment-finetunned | 20 | 3,736 | transformers | 2022-03-02T23:29:05 | ---
pipeline_type: "text-classification"
widget:
- text: "this is a lovely message"
example_title: "Example 1"
multi_class: false
- text: "you are an idiot and you and your family should go back to your country"
example_title: "Example 2"
multi_class: false
language:
- en
- nl
- fr
- pt
- it
- e... | 1,551 | [
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joeddav/bart-large-mnli-yahoo-answers | 2021-06-14T10:44:33.000Z | [
"transformers",
"pytorch",
"jax",
"bart",
"text-classification",
"zero-shot-classification",
"en",
"dataset:yahoo-answers",
"arxiv:1909.00161",
"endpoints_compatible",
"has_space",
"region:us"
] | zero-shot-classification | joeddav | null | null | joeddav/bart-large-mnli-yahoo-answers | 10 | 3,736 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- text-classification
- pytorch
datasets:
- yahoo-answers
pipeline_tag: zero-shot-classification
---
# bart-lage-mnli-yahoo-answers
## Model Description
This model takes [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) and fine-tunes it on Yahoo Answers topic classif... | 4,276 | [
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facebook/dino-vitb16 | 2023-05-22T07:04:00.000Z | [
"transformers",
"pytorch",
"tf",
"vit",
"feature-extraction",
"dino",
"vision",
"dataset:imagenet-1k",
"arxiv:2104.14294",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | facebook | null | null | facebook/dino-vitb16 | 90 | 3,732 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- dino
- vision
datasets:
- imagenet-1k
---
# Vision Transformer (base-sized model, patch size 16) trained using DINO
Vision Transformer (ViT) model trained using the DINO method. It was introduced in the paper [Emerging Properties in Self-Supervised Vision Transformers](https://arxiv.o... | 3,259 | [
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StivenLancheros/roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_AugmentedTransfer_ES | 2022-03-21T22:36:06.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | StivenLancheros | null | null | StivenLancheros/roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_AugmentedTransfer_ES | 0 | 3,731 | transformers | 2022-03-21T22:05:55 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_AugmentedTransfer_ES
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had acc... | 3,038 | [
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sail-rvc/BartSimpson_e230_s7360 | 2023-07-14T07:19:28.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/BartSimpson_e230_s7360 | 0 | 3,721 | transformers | 2023-07-14T07:18:45 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# BartSimpson_e230_s7360
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:19:28
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reason: Conver... | 390 | [
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timm/lcnet_075.ra2_in1k | 2023-04-27T22:48:59.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:2109.15099",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/lcnet_075.ra2_in1k | 0 | 3,718 | timm | 2022-12-16T05:37:34 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for lcnet_075.ra2_in1k
A LCNet image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA2` recipe. Inspired by and evolve... | 4,706 | [
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sap-ai-research/miCSE | 2023-08-23T09:28:48.000Z | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"en",
"arxiv:2211.04928",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sap-ai-research | null | null | sap-ai-research/miCSE | 7 | 3,714 | transformers | 2022-11-09T13:22:51 | ---
pipeline_tag: sentence-similarity
tags:
- feature-extraction
- sentence-similarity
language: en
license: apache-2.0
---
# **m**utual **i**nformation **C**ontrastive **S**entence **E**mbedding (**miCSE**) for Low-shot Sentence Embeddings
Paper accepted at [ACL 2023](https://2023.aclweb.org/)[![arXiv](https://img.shi... | 10,103 | [
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timm/deit3_large_patch16_224.fb_in22k_ft_in1k | 2023-03-28T01:16:21.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2204.07118",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/deit3_large_patch16_224.fb_in22k_ft_in1k | 0 | 3,713 | timm | 2023-03-28T01:12:20 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for deit3_large_patch16_224.fb_in22k_ft_in1k
A DeiT-III image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model Details
- **Mode... | 3,058 | [
[
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Abdulkader/autotrain-medical-reports-summarizer-2484176581 | 2022-12-15T14:15:11.000Z | [
"transformers",
"pytorch",
"autotrain",
"summarization",
"unk",
"dataset:Abdulkader/autotrain-data-medical-reports-summarizer",
"co2_eq_emissions",
"endpoints_compatible",
"has_space",
"region:us"
] | summarization | Abdulkader | null | null | Abdulkader/autotrain-medical-reports-summarizer-2484176581 | 4 | 3,699 | transformers | 2022-12-15T14:11:59 | ---
tags:
- autotrain
- summarization
language:
- unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- Abdulkader/autotrain-data-medical-reports-summarizer
co2_eq_emissions:
emissions: 0.018508154116891218
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 2484176581
- CO2 Emissions (in ... | 753 | [
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0.0047... |
cl-tohoku/bert-large-japanese-v2 | 2023-05-19T00:47:40.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"pretraining",
"ja",
"dataset:cc100",
"dataset:wikipedia",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | cl-tohoku | null | null | cl-tohoku/bert-large-japanese-v2 | 5 | 3,698 | transformers | 2023-05-19T00:40:34 | ---
license: apache-2.0
datasets:
- cc100
- wikipedia
language:
- ja
widget:
- text: 東北大学で[MASK]の研究をしています。
---
# BERT large Japanese (unidic-lite with whole word masking, CC-100 and jawiki-20230102)
This is a [BERT](https://github.com/google-research/bert) model pretrained on texts in the Japanese language.
This ver... | 2,632 | [
[
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timm/tinynet_d.in1k | 2023-04-27T21:50:29.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2010.14819",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tinynet_d.in1k | 0 | 3,694 | timm | 2022-12-13T00:22:20 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tinynet_d.in1k
A TinyNet image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- P... | 3,928 | [
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microsoft/layoutlm-base-cased | 2021-09-27T05:55:31.000Z | [
"transformers",
"pytorch",
"layoutlm",
"arxiv:1912.13318",
"endpoints_compatible",
"region:us"
] | null | microsoft | null | null | microsoft/layoutlm-base-cased | 13 | 3,682 | transformers | 2022-03-02T23:29:05 | # LayoutLM
**Multimodal (text + layout/format + image) pre-training for document AI**
[Microsoft Document AI](https://www.microsoft.com/en-us/research/project/document-ai/) | [GitHub](https://aka.ms/layoutlm)
## Model description
LayoutLM is a simple but effective pre-training method of text and layout for document ... | 1,443 | [
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CompVis/ldm-super-resolution-4x-openimages | 2023-07-05T16:18:48.000Z | [
"diffusers",
"pytorch",
"super-resolution",
"diffusion-super-resolution",
"arxiv:2112.10752",
"license:apache-2.0",
"has_space",
"diffusers:LDMSuperResolutionPipeline",
"region:us"
] | null | CompVis | null | null | CompVis/ldm-super-resolution-4x-openimages | 72 | 3,679 | diffusers | 2022-11-09T12:35:04 | ---
license: apache-2.0
tags:
- pytorch
- diffusers
- super-resolution
- diffusion-super-resolution
---
# Latent Diffusion Models (LDM) for super-resolution
**Paper**: [High-Resolution Image Synthesis with Latent Diffusion Models](https://arxiv.org/abs/2112.10752)
**Abstract**:
*By decomposing the image formation p... | 2,830 | [
[
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moussaKam/barthez | 2021-11-15T12:59:17.000Z | [
"transformers",
"pytorch",
"mbart",
"text2text-generation",
"summarization",
"bart",
"fill-mask",
"fr",
"arxiv:2010.12321",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | moussaKam | null | null | moussaKam/barthez | 11 | 3,678 | transformers | 2022-03-02T23:29:05 | ---
tags:
- summarization
- bart
language:
- fr
widget:
- text: Barthez est le meilleur <mask> du monde.
license: apache-2.0
pipeline_tag: "fill-mask"
---
A french sequence to sequence pretrained model based on [BART](https://huggingface.co/facebook/bart-large). <br>
BARThez is pretrained by learning to reconstruct... | 1,746 | [
[
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-0.0323486328125,
-0.0455322265625,
0.01434326... |
BAAI/bge-large-zh | 2023-10-12T03:38:28.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"feature-extraction",
"zh",
"arxiv:2310.07554",
"arxiv:2309.07597",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | BAAI | null | null | BAAI/bge-large-zh | 196 | 3,673 | transformers | 2023-08-02T07:13:44 | ---
license: mit
language:
- zh
---
**Recommend switching to newest [BAAI/bge-large-zh-v1.5](https://huggingface.co/BAAI/bge-large-zh-v1.5), which has more reasonable similarity distribution and same method of usage.**
<h1 align="center">FlagEmbedding</h1>
<h4 align="center">
<p>
<a href=#model-list>Mo... | 27,349 | [
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-0.0... |
facebook/dpr-reader-single-nq-base | 2022-12-21T15:19:45.000Z | [
"transformers",
"pytorch",
"tf",
"dpr",
"en",
"dataset:nq_open",
"arxiv:2004.04906",
"arxiv:1702.08734",
"arxiv:1910.09700",
"license:cc-by-nc-4.0",
"has_space",
"region:us"
] | null | facebook | null | null | facebook/dpr-reader-single-nq-base | 2 | 3,668 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: cc-by-nc-4.0
tags:
- dpr
datasets:
- nq_open
inference: false
---
`dpr-reader-single-nq-base`
# Table of Contents
- [Model Details](#model-details)
- [How To Get Started With the Model](#how-to-get-started-with-the-model)
- [Uses](#uses)
- [Risks, Limitations and Biases](#risks-limitations-a... | 8,334 | [
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0.03155517578125,
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-0.0306549072265625,
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valhalla/distilbart-mnli-12-9 | 2021-06-14T10:34:58.000Z | [
"transformers",
"pytorch",
"jax",
"bart",
"text-classification",
"distilbart",
"distilbart-mnli",
"zero-shot-classification",
"dataset:mnli",
"endpoints_compatible",
"region:us"
] | zero-shot-classification | valhalla | null | null | valhalla/distilbart-mnli-12-9 | 9 | 3,657 | transformers | 2022-03-02T23:29:05 | ---
datasets:
- mnli
tags:
- distilbart
- distilbart-mnli
pipeline_tag: zero-shot-classification
---
# DistilBart-MNLI
distilbart-mnli is the distilled version of bart-large-mnli created using the **No Teacher Distillation** technique proposed for BART summarisation by Huggingface, [here](https://github.com/huggingfa... | 2,406 | [
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line-corporation/japanese-large-lm-3.6b | 2023-08-17T01:06:17.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"ja",
"dataset:wikipedia",
"dataset:mc4",
"dataset:cc100",
"dataset:oscar",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | line-corporation | null | null | line-corporation/japanese-large-lm-3.6b | 72 | 3,645 | transformers | 2023-07-21T00:48:05 | ---
license: apache-2.0
datasets:
- wikipedia
- mc4
- cc100
- oscar
language:
- ja
---
# japanese-large-lm-3.6b
This repository provides a 3.6B parameters Japanese language model, trained by [LINE Corporation](https://linecorp.com/ja/).
[Tech Blog](https://engineering.linecorp.com/ja/blog/3.6-billion-parameter-japane... | 2,458 | [
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TheBloke/Llama-2-70B-GPTQ | 2023-09-27T12:44:50.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-2",
"en",
"arxiv:2307.09288",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Llama-2-70B-GPTQ | 75 | 3,641 | transformers | 2023-07-18T23:45:06 | ---
language:
- en
license: llama2
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
model_name: Llama 2 70B
base_model: meta-llama/Llama-2-70b-hf
inference: false
model_creator: Meta Llama 2
model_type: llama
pipeline_tag: text-generation
prompt_template: '{prompt}
'
quantized_by: TheBloke
---
<!-- header start ... | 24,572 | [
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potsawee/t5-large-generation-squad-QuestionAnswer | 2023-03-12T16:08:15.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:squad",
"arxiv:2301.12307",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | potsawee | null | null | potsawee/t5-large-generation-squad-QuestionAnswer | 27 | 3,640 | transformers | 2023-03-12T15:37:01 | ---
license: apache-2.0
datasets:
- squad
language:
- en
library_name: transformers
pipeline_tag: text2text-generation
---
# t5-large fine-tuned to SQuAD for Generating Question+Answer
- Input: `context` (e.g. news article)
- Output: `question <sep> answer`
The answers in the training data (SQuAD) are highly extractiv... | 3,604 | [
[
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nlpai-lab/kullm-polyglot-12.8b-v2 | 2023-05-31T15:48:09.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"ko",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | nlpai-lab | null | null | nlpai-lab/kullm-polyglot-12.8b-v2 | 41 | 3,637 | transformers | 2023-05-31T06:28:28 | ---
license: apache-2.0
language:
- ko
---
# KULLM-Polyglot-12.8B-v2
This model is a fine-tuned version of [EleutherAI/polyglot-ko-12.8b](https://huggingface.co/EleutherAI/polyglot-ko-12.8b) on a KULLM v2
Detail Codes are available at [KULLM Github Repository](https://github.com/nlpai-lab/KULLM)
## Training proced... | 773 | [
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0.0204925537109375,
-0.0333251953125,
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sail-rvc/vader | 2023-07-14T07:45:07.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/vader | 0 | 3,637 | transformers | 2023-07-14T07:44:36 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# vader
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:45:06
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reason: Converting into loadabl... | 373 | [
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timm/eva_large_patch14_336.in22k_ft_in22k_in1k | 2023-03-31T06:18:55.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2211.07636",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/eva_large_patch14_336.in22k_ft_in22k_in1k | 0 | 3,623 | timm | 2022-12-22T07:11:06 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
- imagenet-22k
- imagenet-22k
---
# Model card for eva_large_patch14_336.in22k_ft_in22k_in1k
An EVA image classification model. Pretrained on ImageNet-22k with masked image modeling (using EVA-CLIP as a MIM teacher) and fine... | 5,074 | [
[
-0.0491943359375,
-0.02996826171875,
0.00714874267578125,
0.01024627685546875,
-0.02056884765625,
0.0016307830810546875,
-0.01393890380859375,
-0.0301666259765625,
0.043914794921875,
0.0328369140625,
-0.035400390625,
-0.053558349609375,
-0.052337646484375,
0... |
Yntec/CinematicReality | 2023-08-06T10:33:24.000Z | [
"diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/CinematicReality | 0 | 3,623 | diffusers | 2023-08-05T06:55:25 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
inference: false
---
Warning: This model is horny! Add "nude, naked" to the negative prompt if want to avoid NSFW.
# TODO: Finish this model card. | 235 | [
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facebook/esm1b_t33_650M_UR50S | 2022-12-02T14:40:11.000Z | [
"transformers",
"pytorch",
"tf",
"esm",
"fill-mask",
"arxiv:1907.11692",
"arxiv:1810.04805",
"arxiv:1603.05027",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | facebook | null | null | facebook/esm1b_t33_650M_UR50S | 9 | 3,612 | transformers | 2022-10-17T15:06:20 | ---
license: mit
widget:
- text: "MQIFVKTLTGKTITLEVEPS<mask>TIENVKAKIQDKEGIPPDQQRLIFAGKQLEDGRTLSDYNIQKESTLHLVLRLRGG"
---
# **ESM-1b**
ESM-1b ([paper](https://www.pnas.org/content/118/15/e2016239118#:~:text=https%3A//doi.org/10.1073/pnas.2016239118), [repository](https://github.com/facebookresearch/esm)) is a transfor... | 4,617 | [
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lllyasviel/control_v11p_sd15_normalbae | 2023-05-04T18:49:23.000Z | [
"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_normalbae | 5 | 3,608 | diffusers | 2023-04-14T19:24:11 | ---
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_normalbae
---
# Controlnet - v1.1 - *normalbae Version*
**Controlnet v1.1** is the successor model of [Controlnet v1... | 16,282 | [
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-0.01105499267578... |
liyucheng/frame_finder | 2023-09-14T23:06:41.000Z | [
"transformers",
"pytorch",
"roberta",
"token-classification",
"en",
"dataset:liyucheng/FrameNet_v17",
"license:cc",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | liyucheng | null | null | liyucheng/frame_finder | 0 | 3,604 | transformers | 2023-09-14T23:00:14 | ---
license: cc
datasets:
- liyucheng/FrameNet_v17
language:
- en
---
# Frame Classification
This model is trained FrameNet v1.7. Check out the training dataset [here](https://huggingface.co/datasets/liyucheng/FrameNet_v17).
The data is loaded with `ds = dataset.load_dataset('liyucheng/FrameNet_v17', name = 'frame_l... | 628 | [
[
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0.044158935546875,
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-0.05474853515625,
-0.046173095703125,
-0.0... |
sail-rvc/BrunoMars1000v2 | 2023-07-14T07:20:14.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/BrunoMars1000v2 | 0 | 3,602 | transformers | 2023-07-14T07:19:19 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# BrunoMars1000v2
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:20:13
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reason: Converting in... | 383 | [
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-0.03961181640625,
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facebook/fastspeech2-en-ljspeech | 2022-01-28T23:25:24.000Z | [
"fairseq",
"audio",
"text-to-speech",
"en",
"dataset:ljspeech",
"arxiv:2006.04558",
"arxiv:2109.06912",
"has_space",
"region:us"
] | text-to-speech | facebook | null | null | facebook/fastspeech2-en-ljspeech | 225 | 3,580 | fairseq | 2022-03-02T23:29:05 | ---
library_name: fairseq
task: text-to-speech
tags:
- fairseq
- audio
- text-to-speech
language: en
datasets:
- ljspeech
widget:
- text: "Hello, this is a test run."
example_title: "Hello, this is a test run."
---
# fastspeech2-en-ljspeech
[FastSpeech 2](https://arxiv.org/abs/2006.04558) text-to-speech model from f... | 2,129 | [
[
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0.0184173583984375,
-0.04931640625,
-0.0308990478515625,
-0.02667236328125,
0.0... |
Yntec/Pavo-Mix-Diffusers | 2023-07-27T05:25:15.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Eagelaxis",
"Pavo",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/Pavo-Mix-Diffusers | 1 | 3,580 | diffusers | 2023-07-20T19:47:38 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- Eagelaxis
- Pavo
---
# Pavo-Mix
Original page:
https://civitai.com/models/25909/pavo-mix | 262 | [
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Yntec/Deliberate | 2023-10-30T22:00:04.000Z | [
"diffusers",
"General",
"Anime",
"Art",
"XpucT",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:cc-by-nc-nd-4.0",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/Deliberate | 1 | 3,579 | diffusers | 2023-10-20T20:51:16 | ---
license: cc-by-nc-nd-4.0
library_name: diffusers
pipeline_tag: text-to-image
tags:
- General
- Anime
- Art
- XpucT
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# Deliberate
Deliberate 1.0 with the MoistMixV2 VAE baked in for improved details over Deliberate 1.1.
Comparison:
![... | 948 | [
[
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0.0423583984375,
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-0.07196044921875,
-0.0103759765625,
-0.049896240234375,
-0.0133... |
naver/efficient-splade-V-large-doc | 2022-07-08T11:37:17.000Z | [
"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-doc | 3 | 3,573 | transformers | 2022-07-05T09:45:02 | ---
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 qu... | 2,941 | [
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-0.03631591796875,
-0.052276611328125,
-0.001294136... |
naver-clova-ix/donut-base-finetuned-rvlcdip | 2022-08-13T08:28:05.000Z | [
"transformers",
"pytorch",
"vision-encoder-decoder",
"donut",
"image-to-text",
"vision",
"arxiv:2111.15664",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | image-to-text | naver-clova-ix | null | null | naver-clova-ix/donut-base-finetuned-rvlcdip | 5 | 3,568 | transformers | 2022-07-19T13:53:57 | ---
license: mit
tags:
- donut
- image-to-text
- vision
---
# Donut (base-sized model, fine-tuned on RVL-CDIP)
Donut model fine-tuned on RVL-CDIP. It was introduced in the paper [OCR-free Document Understanding Transformer](https://arxiv.org/abs/2111.15664) by Geewok et al. and first released in [this repository](ht... | 2,031 | [
[
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0.046875,
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-0.019989013671875,
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0.0... |
pierreguillou/lilt-xlm-roberta-base-finetuned-with-DocLayNet-base-at-linelevel-ml384 | 2023-05-19T06:46:30.000Z | [
"transformers",
"pytorch",
"tensorboard",
"lilt",
"token-classification",
"object-detection",
"vision",
"generated_from_trainer",
"DocLayNet",
"COCO",
"PDF",
"IBM",
"Financial-Reports",
"Finance",
"Manuals",
"Scientific-Articles",
"Science",
"Laws",
"Law",
"Regulations",
"Pat... | token-classification | pierreguillou | null | null | pierreguillou/lilt-xlm-roberta-base-finetuned-with-DocLayNet-base-at-linelevel-ml384 | 8 | 3,567 | transformers | 2023-02-09T15:43:23 | ---
language:
- multilingual
- en
- de
- fr
- ja
license: mit
tags:
- object-detection
- vision
- generated_from_trainer
- DocLayNet
- COCO
- PDF
- IBM
- Financial-Reports
- Finance
- Manuals
- Scientific-Articles
- Science
- Laws
- Law
- Regulations
- Patents
- Government-Tenders
- object-detection
- image-segmentatio... | 12,816 | [
[
-0.032623291015625,
-0.063232421875,
0.0277099609375,
0.0104522705078125,
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-0.001735687255859375,
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0.0071868896484375,
0.03167724609375,
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-0.0574951171875,
-0.0382080078125,
-0.012... |
potsawee/longformer-large-4096-answering-race | 2023-05-27T22:13:04.000Z | [
"transformers",
"pytorch",
"longformer",
"multiple-choice",
"question-answering",
"en",
"dataset:race",
"arxiv:2301.12307",
"license:apache-2.0",
"region:us"
] | question-answering | potsawee | null | null | potsawee/longformer-large-4096-answering-race | 15 | 3,564 | transformers | 2023-03-12T16:15:58 | ---
license: apache-2.0
datasets:
- race
language:
- en
library_name: transformers
pipeline_tag: question-answering
inference: false
---
# longformer-large-4096 fine-tuned to RACE for (Multiple-Choice) Question Answering
- Input: `context`, `question`, `options`
- Output: logit (or probability over the options)
## Mod... | 4,315 | [
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-0.05047607421875,
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0.0202789306640625,
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-0.0184478759765625,
-0.0190277099609375,
0... |
timm/deit_base_patch16_384.fb_in1k | 2023-03-28T01:33:19.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2012.12877",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/deit_base_patch16_384.fb_in1k | 0 | 3,560 | timm | 2023-03-28T01:31:58 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for deit_base_patch16_384.fb_in1k
A DeiT image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stat... | 3,216 | [
[
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-0.035614013671875,
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0.017730712890625,
-0.042205810546875,
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-0.0552978515625,
... |
intfloat/simlm-msmarco-reranker | 2023-05-22T09:36:12.000Z | [
"transformers",
"pytorch",
"electra",
"text-classification",
"en",
"arxiv:2207.02578",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | intfloat | null | null | intfloat/simlm-msmarco-reranker | 7 | 3,559 | transformers | 2022-08-11T05:27:09 | ---
license: mit
language:
- en
---
# SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval
paper available at [https://arxiv.org/pdf/2207.02578](https://arxiv.org/pdf/2207.02578)
code available at [https://github.com/microsoft/unilm/tree/master/simlm](https://github.com/microsoft/unilm/tree... | 3,522 | [
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-0.02117919921875,
-0.0262603759765625,
0.01... |
staka/fugumt-ja-en | 2023-08-15T08:40:58.000Z | [
"transformers",
"pytorch",
"marian",
"text2text-generation",
"translation",
"en",
"ja",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | staka | null | null | staka/fugumt-ja-en | 28 | 3,557 | transformers | 2022-05-08T04:32:09 | ---
license: cc-by-sa-4.0
language:
- en
- ja
tags:
- translation
widget:
- text: "猫はかわいいです。"
---
# FuguMT
This is a translation model using Marian-NMT.
For more details, please see [my repository](https://github.com/s-taka/fugumt).
* source language: ja
* target language: en
### How to use
This model uses t... | 839 | [
[
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0.03857421875,
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0.0428466796875,
-0.056640625,
-0.023162841796875,
-0.04840087890625,
0.02069091796875,
... |
timm/coatnet_1_rw_224.sw_in1k | 2023-05-10T23:42:23.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/coatnet_1_rw_224.sw_in1k | 0 | 3,554 | timm | 2023-01-20T21:24:32 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for coatnet_1_rw_224.sw_in1k
A timm specific CoAtNet image classification model. Trained in `timm` on ImageNet-1k by Ross Wightman.
ImageNet-1k training done on TPUs thanks to support of the [TRC](h... | 22,130 | [
[
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0.01666259765625,
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-0.046478271484375,
-0.048095703125,
-0.005... |
MoritzLaurer/multilingual-MiniLMv2-L6-mnli-xnli | 2023-03-20T08:26:58.000Z | [
"transformers",
"pytorch",
"safetensors",
"xlm-roberta",
"text-classification",
"zero-shot-classification",
"nli",
"multilingual",
"en",
"ar",
"bg",
"de",
"el",
"es",
"fr",
"hi",
"ru",
"sw",
"th",
"tr",
"ur",
"vi",
"zh",
"dataset:multi_nli",
"dataset:xnli",
"arxiv:2... | zero-shot-classification | MoritzLaurer | null | null | MoritzLaurer/multilingual-MiniLMv2-L6-mnli-xnli | 22 | 3,554 | transformers | 2023-02-11T13:10:37 |
---
language:
- multilingual
- en
- ar
- bg
- de
- el
- es
- fr
- hi
- ru
- sw
- th
- tr
- ur
- vi
- zh
license: mit
tags:
- zero-shot-classification
- text-classification
- nli
- pytorch
metrics:
- accuracy
datasets:
- multi_nli
- xnli
pipeline_tag: zero-shot-classification
widget:
- text: "Angela Merk... | 6,735 | [
[
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-0.0216827392578125,
-0.049468994140625,
0.01678466796875,
0.015228271484375,
-0.04705810546875,
-0.0306396484375,
-0.0382080078125,
0... |
uer/sbert-base-chinese-nli | 2023-10-17T15:29:59.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"zh",
"arxiv:1909.05658",
"arxiv:2212.06385",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | uer | null | null | uer/sbert-base-chinese-nli | 78 | 3,550 | sentence-transformers | 2022-03-02T23:29:05 | ---
language: zh
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
license: apache-2.0
widget:
- source_sentence: "那个人很开心"
sentences:
- "那个人非常开心"
- "那只猫很开心"
- "那个人在吃东西"
---
# Chinese Sentence BERT
## Model descri... | 3,844 | [
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0.0216827392578125,
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-0.036346435546875,
-0.027008056640625,
... |
tartuNLP/EstBERT | 2023-09-12T08:44:15.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"bert",
"fill-mask",
"et",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | tartuNLP | null | null | tartuNLP/EstBERT | 1 | 3,545 | transformers | 2022-03-02T23:29:05 | ---
language: et
license: cc-by-4.0
widget:
- text: "Miks [MASK] ei taha mind kuulata?"
---
---
# EstBERT
### What's this?
The EstBERT model is a pretrained BERT<sub>Base</sub> model exclusively trained on Estonian cased corpus on both 128 and 512 sequence length of data.
### How to use?
You can use the model ... | 3,588 | [
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-0... |
ai-forever/FRED-T5-large | 2023-11-03T12:50:12.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"ru",
"arxiv:2309.10931",
"arxiv:2205.05131",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | ai-forever | null | null | ai-forever/FRED-T5-large | 15 | 3,542 | transformers | 2023-02-28T08:34:42 | ---
language:
- ru
license: apache-2.0
---
# FRED-T5 large 820M (Full-scale Russian Enhanced Denoisers T5)
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/2309.10931).
The model was t... | 3,398 | [
[
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shi-labs/versatile-diffusion | 2023-03-27T21:10:36.000Z | [
"diffusers",
"image-to-text",
"image-to-image",
"text-to-image",
"text-to-text",
"image-editing",
"image-variation",
"generation",
"vision",
"dataset:Laion2B-en",
"arxiv:2211.08332",
"license:mit",
"has_space",
"diffusers:VersatileDiffusionPipeline",
"region:us"
] | text-to-image | shi-labs | null | null | shi-labs/versatile-diffusion | 42 | 3,538 | diffusers | 2022-11-22T22:47:21 | ---
license: mit
tags:
- image-to-text
- image-to-image
- text-to-image
- text-to-text
- image-editing
- image-variation
- generation
- vision
datasets:
- Laion2B-en
widget:
- text: "A high tech solarpunk utopia in the Amazon rainforest"
example_title: Amazon rainforest
---
# Versatile Diffusion V1.0 Model Card
We ... | 7,211 | [
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-0.0... |
MBZUAI/LaMini-Flan-T5-248M | 2023-04-28T12:08:23.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"instruction fine-tuning",
"en",
"arxiv:2304.14402",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | MBZUAI | null | null | MBZUAI/LaMini-Flan-T5-248M | 35 | 3,536 | transformers | 2023-04-10T17:37:18 | ---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
- instruction fine-tuning
model-index:
- name: flan-t5-small-distil-v2
results: []
language:
- en
pipeline_tag: text2text-generation
widget:
- text: >-
how can I become more healthy?
example_title: example
---
<!-- This model card has been generate... | 6,412 | [
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0.00437927... |
timm/convnextv2_base.fcmae | 2023-03-31T23:04:16.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2301.00808",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/convnextv2_base.fcmae | 0 | 3,531 | timm | 2023-01-05T01:37:39 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
---
# Model card for convnextv2_base.fcmae
A ConvNeXt-V2 self-supervised feature representation model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE). This model has no pretrained head and is only useful for fin... | 15,746 | [
[
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-0.05340576171875,
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rinna/japanese-gpt-1b | 2023-03-22T04:09:05.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"ja",
"japanese",
"gpt",
"lm",
"nlp",
"dataset:cc100",
"dataset:wikipedia",
"dataset:c4",
"license:mit",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | rinna | null | null | rinna/japanese-gpt-1b | 91 | 3,523 | transformers | 2022-03-02T23:29:05 | ---
language: ja
thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
tags:
- ja
- japanese
- gpt
- text-generation
- lm
- nlp
license: mit
datasets:
- cc100
- wikipedia
- c4
widget:
- text: "西田幾多郎は、"
---
# japanese-gpt-1b
This repository provides a 1.3B-p... | 2,294 | [
[
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0.002... |
nitrosocke/archer-diffusion | 2023-05-16T09:22:34.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | nitrosocke | null | null | nitrosocke/archer-diffusion | 212 | 3,514 | diffusers | 2022-10-20T17:17:37 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
---
### Archer Diffusion
This is the fine-tuned Stable Diffusion model trained on screenshots from the TV-show Archer.
Use the tokens **_archer style_** in your prompts for the effect.
**If you enjoy my work, plea... | 3,432 | [
[
-0.0309295654296875,
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... |
kernelmachine/silo-pdsw-1.3b | 2023-08-08T18:46:58.000Z | [
"transformers",
"pytorch",
"text-generation",
"openlm",
"silo",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | kernelmachine | null | null | kernelmachine/silo-pdsw-1.3b | 0 | 3,513 | transformers | 2023-08-06T14:19:51 | ---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- text-generation
- openlm
- silo
---
# Silo Language Models: Isolating Legal Risk in a Datastore
This is Silo-PDSW, first introduced in [Silo Language Models]() by researchers at University of Washington, UC Berkeley, and the Allen Institute ... | 3,978 | [
[
-0.01132965087890625,
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aubmindlab/bert-large-arabertv2 | 2023-03-20T13:07:11.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"tensorboard",
"safetensors",
"bert",
"fill-mask",
"ar",
"dataset:wikipedia",
"dataset:Osian",
"dataset:1.5B-Arabic-Corpus",
"dataset:oscar-arabic-unshuffled",
"dataset:Assafir(private)",
"arxiv:2003.00104",
"autotrain_compatible",
"endpoints_c... | fill-mask | aubmindlab | null | null | aubmindlab/bert-large-arabertv2 | 6 | 3,506 | transformers | 2022-03-02T23:29:05 | ---
language: ar
datasets:
- wikipedia
- Osian
- 1.5B-Arabic-Corpus
- oscar-arabic-unshuffled
- Assafir(private)
widget:
- text: " عاصم +ة لبنان هي [MASK] ."
---
# AraBERT v1 & v2 : Pre-training BERT for Arabic Language Understanding
<img src="https://raw.githubusercontent.com/aub-mind/arabert/master/arabert_logo.pn... | 8,489 | [
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0.0010... |
Manismart2/my-pet-dog | 2023-11-05T08:55:24.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"doi:10.57967/hf/1316",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Manismart2 | null | null | Manismart2/my-pet-dog | 0 | 3,505 | diffusers | 2023-11-05T08:52:02 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog Dreambooth model trained by Manismart2 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
... | 1,255 | [
[
-0.061065673828125,
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0.01710... |
Yehor/wav2vec2-xls-r-300m-uk-with-small-lm | 2022-07-30T08:51:01.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_10_0",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | Yehor | null | null | Yehor/wav2vec2-xls-r-300m-uk-with-small-lm | 5 | 3,502 | transformers | 2022-06-08T12:31:06 | ---
language:
- uk
license: "apache-2.0"
datasets:
- mozilla-foundation/common_voice_10_0
---
🇺🇦 Join Ukrainian Speech Recognition Community - https://t.me/speech_recognition_uk
⭐ See other Ukrainian models - https://github.com/egorsmkv/speech-recognition-uk
This model has apostrophes and hyphens.
The language... | 805 | [
[
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kyujinpy/KoR-Orca-Platypus-13B | 2023-10-19T13:30:25.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ko",
"dataset:kyujinpy/OpenOrca-KO",
"dataset:kyujinpy/KOpen-platypus",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | kyujinpy | null | null | kyujinpy/KoR-Orca-Platypus-13B | 3 | 3,502 | transformers | 2023-10-13T20:45:59 | ---
language:
- ko
datasets:
- kyujinpy/OpenOrca-KO
- kyujinpy/KOpen-platypus
library_name: transformers
pipeline_tag: text-generation
license: cc-by-nc-sa-4.0
---
**(주)미디어그룹사람과숲과 (주)마커의 LLM 연구 컨소시엄에서 개발된 모델입니다**
**The license is `cc-by-nc-sa-4.0`.**
# **🐳KoR-Orca-Platypus-13B🐳**
![img](./Korean-OpenOrca.png... | 2,499 | [
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juierror/flan-t5-text2sql-with-schema-v2 | 2023-07-31T15:26:29.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"en",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | juierror | null | null | juierror/flan-t5-text2sql-with-schema-v2 | 17 | 3,501 | transformers | 2023-07-31T14:58:27 | ---
language: en
widget:
- text: >-
convert question and table into SQL query. tables: people_name(id,name),
people_age(people_id,age). question: how many people with name jui and age
less than 25
license: cc-by-sa-4.0
pipeline_tag: text2text-generation
inference:
parameters:
max_length: 512
num_b... | 2,116 | [
[
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0.... |
Sannirappa/my-favourite-cricketer | 2023-11-05T15:53:35.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Sannirappa | null | null | Sannirappa/my-favourite-cricketer | 0 | 3,501 | diffusers | 2023-11-05T15:49:22 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### my-favourite-cricketer Dreambooth model trained by Sannirappa following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: CVR-204
Sample pictures of this concept:
![0... | 853 | [
[
-0.059783935546875,
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0.0198... |
mrm8488/bert-tiny-finetuned-sms-spam-detection | 2023-03-16T17:28:05.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"bert",
"text-classification",
"sms",
"spam",
"detection",
"en",
"dataset:sms_spam",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | mrm8488 | null | null | mrm8488/bert-tiny-finetuned-sms-spam-detection | 23 | 3,499 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- sms
- spam
- detection
datasets:
- sms_spam
widget:
- text: "Camera - You are awarded a SiPix Digital Camera! call 09061221066 fromm landline. Delivery within 28 days."
---
# BERT-Tiny fine-tuned on on sms_spam dataset for spam detection
Validation accuray: **0.98** | 293 | [
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DeepFloyd/IF-II-M-v1.0 | 2023-06-02T19:05:19.000Z | [
"diffusers",
"pytorch",
"if",
"text-to-image",
"arxiv:2205.11487",
"arxiv:2110.02861",
"license:deepfloyd-if-license",
"diffusers:IFSuperResolutionPipeline",
"region:us"
] | text-to-image | DeepFloyd | null | null | DeepFloyd/IF-II-M-v1.0 | 20 | 3,497 | diffusers | 2023-03-21T13:16:58 | ---
license: deepfloyd-if-license
extra_gated_prompt: "DeepFloyd LICENSE AGREEMENT\nThis License Agreement (as may be amended in accordance with this License Agreement, “License”), between you, or your employer or other entity (if you are entering into this agreement on behalf of your employer or other entity) (“Licens... | 23,757 | [
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-0.046112060546875,
-0.01... |
TheBloke/StableBeluga2-70B-GPTQ | 2023-09-27T12:44:59.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"en",
"dataset:conceptofmind/cot_submix_original",
"dataset:conceptofmind/flan2021_submix_original",
"dataset:conceptofmind/t0_submix_original",
"dataset:conceptofmind/niv2_submix_original",
"arxiv:2307.09288",
"arxiv:2306.02707",
"lic... | text-generation | TheBloke | null | null | TheBloke/StableBeluga2-70B-GPTQ | 90 | 3,491 | transformers | 2023-07-21T22:58:55 | ---
language:
- en
license: llama2
datasets:
- conceptofmind/cot_submix_original
- conceptofmind/flan2021_submix_original
- conceptofmind/t0_submix_original
- conceptofmind/niv2_submix_original
model_name: StableBeluga2
base_model: stabilityai/StableBeluga2
inference: false
model_creator: Stability AI
model_type: llama... | 21,491 | [
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-0.041839599609375,
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-0.036041259765625,
-0.0268707275390625,
-0... |
sail-rvc/EdSheeran2333333 | 2023-07-14T07:21:49.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/EdSheeran2333333 | 0 | 3,486 | transformers | 2023-07-14T07:21:31 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# EdSheeran2333333
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:21:49
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reason: Converting i... | 384 | [
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vishnuvardhan09/sneaer | 2023-11-05T11:07:35.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | vishnuvardhan09 | null | null | vishnuvardhan09/sneaer | 0 | 3,486 | diffusers | 2023-11-05T11:02:04 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### sneaer Dreambooth model trained by vishnuvardhan09 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: VNR-323
Sample pictures of this concept:
![0](https://huggingface.c... | 392 | [
[
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timm/convnextv2_base.fcmae_ft_in22k_in1k_384 | 2023-03-31T23:06:58.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2301.00808",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/convnextv2_base.fcmae_ft_in22k_in1k_384 | 0 | 3,479 | timm | 2023-01-05T01:39:14 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
datasets:
- imagenet-1k
- imagenet-1k
---
# Model card for convnextv2_base.fcmae_ft_in22k_in1k_384
A ConvNeXt-V2 image classification model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE) and fine-tuned on Image... | 15,831 | [
[
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TheBloke/zephyr-7B-beta-GPTQ | 2023-10-27T14:56:24.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"generated_from_trainer",
"en",
"dataset:HuggingFaceH4/ultrachat_200k",
"dataset:HuggingFaceH4/ultrafeedback_binarized",
"arxiv:2305.18290",
"arxiv:2310.16944",
"license:mit",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/zephyr-7B-beta-GPTQ | 27 | 3,474 | transformers | 2023-10-27T13:16:11 | ---
base_model: HuggingFaceH4/zephyr-7b-beta
datasets:
- HuggingFaceH4/ultrachat_200k
- HuggingFaceH4/ultrafeedback_binarized
inference: false
language:
- en
license: mit
model-index:
- name: zephyr-7b-beta
results: []
model_creator: Hugging Face H4
model_name: Zephyr 7B Beta
model_type: mistral
prompt_template: '<|s... | 38,370 | [
[
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-0.0360107421875,
-0.0214080810546875,
... |
Srividhya9/my-pet-cat-ars | 2023-11-06T10:08:46.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Srividhya9 | null | null | Srividhya9/my-pet-cat-ars | 1 | 3,472 | diffusers | 2023-11-06T10:04:40 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Cat-ARS Dreambooth model trained by Srividhya9 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: MRCEW-349
Sample pictures of this concept:
![0](https://huggingf... | 400 | [
[
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0... |
cedricolivier/naniohana | 2023-10-13T18:28:45.000Z | [
"diffusers",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | cedricolivier | null | null | cedricolivier/naniohana | 0 | 3,470 | diffusers | 2023-10-13T18:24:48 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### naniohana Dreambooth model trained by cedricolivier with TheLastBen's fast-DreamBooth notebook
| 208 | [
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sail-rvc/21savage | 2023-07-14T07:18:07.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/21savage | 0 | 3,465 | transformers | 2023-07-14T07:17:24 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# 21savage
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:18:07
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reason: Converting into load... | 376 | [
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cgburgos/sdxl-1-0-base | 2023-08-02T20:02:56.000Z | [
"diffusers",
"onnx",
"text-to-image",
"stable-diffusion",
"arxiv:2307.01952",
"arxiv:2211.01324",
"arxiv:2108.01073",
"arxiv:2112.10752",
"license:openrail++",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | cgburgos | null | null | cgburgos/sdxl-1-0-base | 2 | 3,463 | diffusers | 2023-08-02T20:02:56 | ---
license: openrail++
tags:
- text-to-image
- stable-diffusion
duplicated_from: stabilityai/stable-diffusion-xl-base-1.0
---
# SD-XL 1.0-base Model Card
## Model
[SDXL](https://arxiv.org/abs/2307.01952) consists of an [ensemble of experts](https://arxiv.org/abs/2211.01324... | 8,704 | [
[
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0.00923919677734375,
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-0.037933349609375,
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... |
nitrosocke/classic-anim-diffusion | 2023-05-16T09:23:56.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | nitrosocke | null | null | nitrosocke/classic-anim-diffusion | 401 | 3,460 | diffusers | 2022-10-30T15:14:27 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
---
### Classic Animation Diffusion
This is the fine-tuned Stable Diffusion model trained on screenshots from a popular animation studio.
Use the tokens **_classic disney style_** in your prompts for the effect.
**If you enjoy my work, please... | 3,080 | [
[
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0.048004150390625,
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-0.... |
Yntec/Protogen | 2023-10-20T08:08:11.000Z | [
"diffusers",
"darkstorm2150",
"anime",
"art",
"artistic",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/Protogen | 1 | 3,460 | diffusers | 2023-10-20T06:26:53 | ---
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- darkstorm2150
- anime
- art
- artistic
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
inference: true
license: creativeml-openrail-m
---
# Protogen 2.2
<center><img src="https://cdn-uploads.huggingface.co/produ... | 1,157 | [
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-0.0... |
THUDM/chatglm3-6b-32k | 2023-10-31T10:27:14.000Z | [
"transformers",
"pytorch",
"chatglm",
"glm",
"thudm",
"custom_code",
"zh",
"en",
"arxiv:2103.10360",
"arxiv:2210.02414",
"endpoints_compatible",
"region:us"
] | null | THUDM | null | null | THUDM/chatglm3-6b-32k | 115 | 3,455 | transformers | 2023-10-26T13:04:58 | ---
language:
- zh
- en
tags:
- glm
- chatglm
- thudm
---
# ChatGLM3-6B-32K
<p align="center">
💻 <a href="https://github.com/THUDM/ChatGLM" target="_blank">Github Repo</a> • 🐦 <a href="https://twitter.com/thukeg" target="_blank">Twitter</a> • 📃 <a href="https://arxiv.org/abs/2103.10360" target="_blank">[GLM@ACL 22... | 6,428 | [
[
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0.0172271728515625,
-0.0399169921875,
-0.04888916015625,
-0.04010009765625,
-... |
TencentARC/t2i-adapter-canny-sdxl-1.0 | 2023-09-07T19:10:05.000Z | [
"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-canny-sdxl-1.0 | 25 | 3,451 | diffusers | 2023-09-03T14:19:29 | ---
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 - Canny
T2I Adapter is a network providing additional conditioning to stable diffusion. Each t2i checkpoint takes a diffe... | 8,946 | [
[
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m3rg-iitd/matscibert | 2022-06-02T19:07:10.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | m3rg-iitd | null | null | m3rg-iitd/matscibert | 8 | 3,445 | transformers | 2022-03-02T23:29:05 | # MatSciBERT
## A Materials Domain Language Model for Text Mining and Information Extraction
This is the pretrained model presented in [MatSciBERT: A materials domain language model for text mining and information extraction](https://rdcu.be/cMAp5), which is a BERT model trained on material science research papers.
T... | 1,454 | [
[
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0.0285797119140625,
-0.041534423828125,
-0.05255126953125,
-0.05221557617187... |
sentence-transformers/all-mpnet-base-v1 | 2021-08-31T07:35:23.000Z | [
"sentence-transformers",
"pytorch",
"mpnet",
"feature-extraction",
"sentence-similarity",
"en",
"arxiv:1904.06472",
"arxiv:2102.07033",
"arxiv:2104.08727",
"arxiv:1704.05179",
"arxiv:1810.09305",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/all-mpnet-base-v1 | 7 | 3,440 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
language: en
license: apache-2.0
---
# all-mpnet-base-v1
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used... | 9,851 | [
[
-0.02764892578125,
-0.055023193359375,
0.023529052734375,
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-0.016510009765625,
-0.0125732421875,
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0.015716552734375,
-0.033905029296875,
-0.039459228515625,
-0.052093505859375,
0.0077... |
Yntec/animeTEN | 2023-09-21T09:53:29.000Z | [
"diffusers",
"Anime",
"General Purpose",
"Ctuhulo",
"realisticElves",
"text-to-image",
"stable-diffusion",
"stable-diffusion-diffusers",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/animeTEN | 2 | 3,440 | diffusers | 2023-09-21T08:18:50 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- General Purpose
- Ctuhulo
- realisticElves
- text-to-image
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
---
# animeTEN
This model with the zVAE baken in.
Sample and prompt:
![Sample](https://cdn-up... | 916 | [
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... |
bigscience/bloomz-1b7 | 2023-05-27T17:26:25.000Z | [
"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-1b7 | 19 | 3,437 | transformers | 2022-10-08T19:24:39 | ---
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... | 24,194 | [
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-0.04061889648437... |
Huffon/sentence-klue-roberta-base | 2021-06-20T17:32:17.000Z | [
"sentence-transformers",
"pytorch",
"roberta",
"ko",
"dataset:klue",
"arxiv:1908.10084",
"has_space",
"region:us"
] | null | Huffon | null | null | Huffon/sentence-klue-roberta-base | 6 | 3,434 | sentence-transformers | 2022-03-02T23:29:04 | ---
language: ko
tags:
- roberta
- sentence-transformers
datasets:
- klue
---
# KLUE RoBERTa base model for Sentence Embeddings
This is the `sentence-klue-roberta-base` model. The sentence-transformers repository allows to train and use Transformer models for generating sentence and text embeddings.
The model is des... | 2,021 | [
[
-0.0250701904296875,
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0.021881103515625,
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... |
asafaya/bert-base-arabic | 2023-03-17T11:32:17.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"ar",
"dataset:oscar",
"dataset:wikipedia",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | asafaya | null | null | asafaya/bert-base-arabic | 18 | 3,432 | transformers | 2022-03-02T23:29:05 | ---
language: ar
datasets:
- oscar
- wikipedia
---
# Arabic BERT Model
Pretrained BERT base language model for Arabic
_If you use this model in your work, please cite this paper:_
```
@inproceedings{safaya-etal-2020-kuisail,
title = "{KUISAIL} at {S}em{E}val-2020 Task 12: {BERT}-{CNN} for Offensive Speech Iden... | 2,676 | [
[
-0.0340576171875,
-0.049774169921875,
0.007457733154296875,
0.0157928466796875,
-0.036956787109375,
-0.0037899017333984375,
-0.01959228515625,
-0.046112060546875,
-0.00266265869140625,
0.023284912109375,
-0.03363037109375,
-0.05157470703125,
-0.07379150390625,
... |
jphme/em_german_7b_leo | 2023-10-12T11:12:26.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"pytorch",
"german",
"deutsch",
"llama2",
"meta",
"facebook",
"leolm",
"custom_code",
"de",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | jphme | null | null | jphme/em_german_7b_leo | 4 | 3,420 | transformers | 2023-09-28T21:16:06 | ---
inference: false
language:
- de
library_name: transformers
license: llama2
model_creator: jphme
model_name: EM German
model_type: llama
pipeline_tag: text-generation
prompt_template: 'Du bist ein hilfreicher Assistent. USER: Was ist 1+1? ASSISTANT:'
tags:
- pytorch
- german
- deutsch
- llama2
- meta
- facebook
- le... | 9,548 | [
[
-0.04705810546875,
-0.047088623046875,
0.0215606689453125,
0.0421142578125,
-0.032958984375,
-0.0238494873046875,
-0.007289886474609375,
-0.043060302734375,
0.0406494140625,
0.004459381103515625,
-0.045654296875,
-0.0450439453125,
-0.03656005859375,
0.016906... |
yujiepan/llama-2-tiny-3layers-random | 2023-09-13T15:48:37.000Z | [
"transformers",
"pytorch",
"safetensors",
"openvino",
"llama",
"text-generation",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | yujiepan | null | null | yujiepan/llama-2-tiny-3layers-random | 0 | 3,418 | transformers | 2023-08-31T09:30:50 | ---
pipeline_tag: text-generation
inference: true
widget:
- text: 'Hello!'
example_title: Hello world
group: Python
library_name: transformers
---
# yujiepan/llama-2-tiny-3layers-random
This model is **randomly initialized**, using the config from [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/yujiepan/ll... | 553 | [
[
-0.0292816162109375,
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0.011505126953125,
0.006275177001953125,
-0.042327880859375,
0.044525146484375,
0.05804443359375,
-0.0614013671875,
-0.0264892578125,
-0.046173095703125,
-0.00200271... |
timm/ViT-B-16-SigLIP | 2023-10-25T21:58:01.000Z | [
"open_clip",
"clip",
"siglip",
"zero-shot-image-classification",
"dataset:webli",
"arxiv:2303.15343",
"license:apache-2.0",
"region:us"
] | zero-shot-image-classification | timm | null | null | timm/ViT-B-16-SigLIP | 7 | 3,418 | open_clip | 2023-10-16T23:14:27 | ---
tags:
- clip
- siglip
library_name: open_clip
pipeline_tag: zero-shot-image-classification
license: apache-2.0
datasets:
- webli
---
# Model card for ViT-B-16-SigLIP
A SigLIP (Sigmoid loss for Language-Image Pre-training) model trained on WebLI.
This model has been converted to PyTorch from the original JAX check... | 3,149 | [
[
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-0.029815673828125,
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0.0244140625,
0.018218994140625,
-0.038909912109375,
-0.057769775390625,
-0.055999755859375,
-0.01307... |
lllyasviel/control_v11e_sd15_shuffle | 2023-05-04T18:51:03.000Z | [
"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_v11e_sd15_shuffle | 6 | 3,416 | diffusers | 2023-04-14T19:25:23 | ---
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_v11e_sd15_shuffle
---
# Controlnet - v1.1 - *shuffle Version*
**Controlnet v1.1** was released in [lllyasviel/ControlNet-v1-1]... | 15,429 | [
[
-0.04541015625,
-0.045379638671875,
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-0.01... |
MarieAngeA13/Sentiment-Analysis-BERT | 2023-07-01T18:26:06.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"sentiment",
"sentiment-analysis",
"en",
"license:bsd-3-clause",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | MarieAngeA13 | null | null | MarieAngeA13/Sentiment-Analysis-BERT | 1 | 3,414 | transformers | 2023-07-01T17:42:40 | ---
license: bsd-3-clause
language:
- en
tags:
- sentiment
- bert
- sentiment-analysis
- transformers
pipeline_tag: text-classification
---
> Authors : GRP209
# User Comment Sentiment Analysis
This model aims to analyze user comments on products and extracting the expressed sentiments.
User ratings on the in... | 2,086 | [
[
-0.054168701171875,
-0.0307464599609375,
0.02313232421875,
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... |
NlpHUST/ner-vietnamese-electra-base | 2023-04-10T02:25:50.000Z | [
"transformers",
"pytorch",
"safetensors",
"electra",
"token-classification",
"named-entity-recognition",
"vi",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | NlpHUST | null | null | NlpHUST/ner-vietnamese-electra-base | 1 | 3,413 | transformers | 2022-10-28T05:26:38 | ---
widget:
- text: "Liên quan vụ việc CSGT bị tố đánh dân, trúng một cháu nhỏ đang ngủ, đang lan truyền trên mạng xã hội, Đại tá Nguyễn Văn Tảo, Phó Giám đốc Công an tỉnh Tiền Giang vừa có cuộc họp cùng Chỉ huy Công an huyện Châu Thành và một số đơn vị nghiệp vụ cấp tỉnh để chỉ đạo làm rõ thông tin."
tags:
- named-en... | 2,829 | [
[
-0.023956298828125,
-0.043792724609375,
0.00931549072265625,
0.006145477294921875,
-0.025482177734375,
-0.0223541259765625,
-0.004482269287109375,
-0.01198577880859375,
0.02569580078125,
0.041961669921875,
-0.0220184326171875,
-0.041839599609375,
-0.045135498046... |
moka-ai/m3e-large | 2023-06-21T11:25:23.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"embedding",
"text-embedding",
"zh",
"en",
"has_space",
"region:us"
] | null | moka-ai | null | null | moka-ai/m3e-large | 121 | 3,398 | sentence-transformers | 2023-06-21T09:07:12 | ---
language:
- zh
- en
tags:
- embedding
- text-embedding
library_name: sentence-transformers
---
# M3E Models
[m3e-small](https://huggingface.co/moka-ai/m3e-small) | [m3e-base](https://huggingface.co/moka-ai/m3e-base) | [m3e-large](https://huggingface.co/moka-ai/m3e-large)
M3E 是 Moka Massive Mixed Embedding 的缩写
-... | 19,078 | [
[
-0.040283203125,
-0.0435791015625,
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0.0072479248046875,
-0.03582763671875,
-0.0540771484375,
-0.05078125,
-0.00959777832031... |
gijs/aces-roberta-13 | 2023-03-09T15:52:02.000Z | [
"transformers",
"pytorch",
"roberta",
"token-classification",
"generated_from_trainer",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | gijs | null | null | gijs/aces-roberta-13 | 0 | 3,396 | transformers | 2023-03-09T15:49:28 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: aces-roberta-13
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 t... | 3,364 | [
[
-0.0443115234375,
-0.04498291015625,
0.0186920166015625,
0.0029449462890625,
-0.004245758056640625,
-0.0029697418212890625,
-0.0034160614013671875,
-0.0061798095703125,
0.04815673828125,
0.0252838134765625,
-0.05059814453125,
-0.048858642578125,
-0.04931640625,
... |
timm/maxvit_base_tf_512.in1k | 2023-05-10T23:58:36.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.01697",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_base_tf_512.in1k | 0 | 3,395 | timm | 2022-12-02T21:49:47 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for maxvit_base_tf_512.in1k
An official MaxViT image classification model. Trained in tensorflow on ImageNet-1k by paper authors.
Ported from official Tensorflow implementation (https://github.com/go... | 22,113 | [
[
-0.05242919921875,
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0.054656982421875,
0.01654052734375,
-0.041168212890625,
-0.0469970703125,
-0.047332763671875,
-0.... |
HamzaFarhan/PDFSegs | 2023-05-31T07:25:42.000Z | [
"sentence-transformers",
"pytorch",
"mpnet",
"setfit",
"text-classification",
"arxiv:2209.11055",
"license:apache-2.0",
"region:us"
] | text-classification | HamzaFarhan | null | null | HamzaFarhan/PDFSegs | 1 | 3,386 | sentence-transformers | 2023-05-21T02:08:09 | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# HamzaFarhan/PDFSegs
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification.
<br>The labels are: 'Work Experience', 'Education', and 'Certificat... | 1,607 | [
[
0.0004982948303222656,
-0.0496826171875,
0.02490234375,
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-0.021270751953125,
0.04034423828125,
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-0.032470703125,
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0.... |
hearmeneigh/sd21-e621-rising-v2 | 2023-11-02T01:12:33.000Z | [
"diffusers",
"tensorboard",
"anthro",
"furry",
"e621",
"nsfw",
"not-for-all-audiences",
"text-to-image",
"dataset:hearmeneigh/e621-rising-v2-curated",
"dataset:hearmeneigh/e621-rising-v1-curated",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | hearmeneigh | null | null | hearmeneigh/sd21-e621-rising-v2 | 24 | 3,384 | diffusers | 2023-04-02T03:46:07 | ---
library_name: diffusers
pipeline_tag: text-to-image
datasets:
- hearmeneigh/e621-rising-v2-curated
- hearmeneigh/e621-rising-v1-curated
tags:
- anthro
- furry
- e621
- nsfw
- not-for-all-audiences
---
<div style='background: #ffeec0; border: 1px solid #ffd86d; padding:1em; border-radius:3px;'>
<h3 style='margin:0'... | 5,952 | [
[
-0.04949951171875,
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0.01528167724609375,
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-0.03778076171875,
-0.032318115234375,
0.005630493... |
Daniil-plotnikov/russian-vision-v6-2 | 2023-10-26T06:24:46.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Daniil-plotnikov | null | null | Daniil-plotnikov/russian-vision-v6-2 | 2 | 3,384 | diffusers | 2023-10-08T16:57:39 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Russian-Vision-v6.2
| 104 | [
[
-0.01198577880859375,
0.01331329345703125,
0.028594970703125,
0.045074462890625,
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0.033111572265625,
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0.01806640625,
0.0499267578125,
-0.041595458984375,
-0.03350830078125,
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-... |
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