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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
jonatasgrosman/wav2vec2-xls-r-1b-english | 2022-12-14T02:01:29.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"en",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_8_0",
"robust-speech-event",
"dataset:mozilla-foundation/common_voice_8_0",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:... | automatic-speech-recognition | jonatasgrosman | null | null | jonatasgrosman/wav2vec2-xls-r-1b-english | 9 | 781 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
license: apache-2.0
tags:
- automatic-speech-recognition
- en
- hf-asr-leaderboard
- mozilla-foundation/common_voice_8_0
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: XLS-R Wav2Vec2 English by Jonatas Grosman
results:
- task:
name: Automatic Spee... | 4,579 | [
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0.00... |
digiplay/BadAnime_v1 | 2023-07-15T14:07:09.000Z | [
"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/BadAnime_v1 | 6 | 781 | diffusers | 2023-07-15T13:49:12 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/107703?modelVersionId=115852
Sample image I made thru Huggingface's API :
![87cb5980-f6a9-4748-88cb-59d4b5449abc.jpeg](https://cdn-uploads.huggingface.co/pr... | 534 | [
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timm/convnext_nano_ols.d1h_in1k | 2023-03-31T22:32:43.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_nano_ols.d1h_in1k | 0 | 780 | timm | 2022-12-13T07:12:31 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convnext_nano_ols.d1h_in1k
A ConvNeXt image classification model. Trained in `timm` on ImageNet-1k by Ross Wightman.
## Model Details
- **Model Type:** Image classification / feature backbone
- ... | 15,648 | [
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zlsl/wh40k_warhammer | 2023-04-14T21:26:07.000Z | [
"diffusers",
"StableDiffusion",
"Warhammer",
"wh40k",
"text-to-image",
"en",
"license:apache-2.0",
"region:us"
] | text-to-image | zlsl | null | null | zlsl/wh40k_warhammer | 5 | 779 | diffusers | 2022-12-17T10:05:27 | ---
language:
- en
tags:
- StableDiffusion
- Warhammer
- wh40k
license: apache-2.0
library_name: diffusers
pipeline_tag: text-to-image
---
StableDiffusion model trained on Sororitas Sisters of Battle dataset
Use token whsororitas for Sororitas
Use token whinsignia for Insignia-themed items
- Samples
![](002894.cef... | 695 | [
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-0.047576904296875,
-0.056060791015625,
-0.00269126... |
sobabeats/Evt_V3 | 2023-04-17T11:07:44.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"anime",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | sobabeats | null | null | sobabeats/Evt_V3 | 1 | 779 | diffusers | 2023-04-17T11:07:44 | ---
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- anime
- diffusers
license: creativeml-openrail-m
duplicated_from: haor/Evt_V3
---
# Evt_V3
Based on Evt_V2 with 20 epochs fine-tuning using 35467 images
### Examples
![Image](https://0.00000.l... | 2,535 | [
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0.00... |
timm/tf_efficientnet_cc_b0_4e.in1k | 2023-04-27T21:28:17.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1904.04971",
"arxiv:1905.11946",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_cc_b0_4e.in1k | 0 | 778 | timm | 2022-12-13T00:07:52 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_cc_b0_4e.in1k
A EfficientNet-CondConv image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- *... | 4,517 | [
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timm/vit_base_patch16_384.orig_in21k_ft_in1k | 2023-05-06T00:01:20.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_base_patch16_384.orig_in21k_ft_in1k | 0 | 778 | timm | 2022-12-22T07:30:20 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for vit_base_patch16_384.orig_in21k_ft_in1k
A Vision Transformer (ViT) image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k in JAX by paper authors, ported... | 3,394 | [
[
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-0.029632568359375,
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-0.044769287109375,
-0.0519714355468... |
PKU-Alignment/beaver-7b-v1.0-reward | 2023-07-12T13:50:58.000Z | [
"safe-rlhf",
"pytorch",
"llama",
"reinforcement-learning-from-human-feedback",
"reinforcement-learning",
"beaver",
"safety",
"ai-safety",
"deepspeed",
"rlhf",
"alpaca",
"en",
"dataset:PKU-Alignment/PKU-SafeRLHF",
"arxiv:2302.13971",
"arxiv:2307.04657",
"text-generation-inference",
"r... | reinforcement-learning | PKU-Alignment | null | null | PKU-Alignment/beaver-7b-v1.0-reward | 4 | 778 | safe-rlhf | 2023-07-08T10:38:54 | ---
datasets:
- PKU-Alignment/PKU-SafeRLHF
language:
- en
tags:
- reinforcement-learning-from-human-feedback
- reinforcement-learning
- beaver
- safety
- llama
- ai-safety
- deepspeed
- rlhf
- alpaca
library_name: safe-rlhf
---
# 🦫 Beaver's Reward Model
## Model Details
The Beaver reward model... | 2,611 | [
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... |
jhflow/komt-mistral7b-kor-orca-lora | 2023-10-28T07:47:30.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | jhflow | null | null | jhflow/komt-mistral7b-kor-orca-lora | 0 | 778 | transformers | 2023-10-28T07:32:56 | This is a test version model. This repository can be withdrawn without any notification sooner or later.
base_model : https://huggingface.co/davidkim205/komt-mistral-7b-v1
dataset : https://huggingface.co/datasets/kyujinpy/OpenOrca-KO | 237 | [
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ThomasNLG/t5-qg_squad1-en | 2021-07-09T07:45:35.000Z | [
"transformers",
"pytorch",
"jax",
"t5",
"text2text-generation",
"qg",
"question",
"generation",
"SQuAD",
"metric",
"nlg",
"t5-small",
"en",
"dataset:squad",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | ThomasNLG | null | null | ThomasNLG/t5-qg_squad1-en | 1 | 777 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- qg
- question
- generation
- SQuAD
- metric
- nlg
- t5-small
license: mit
datasets:
- squad
model-index:
- name: t5-qg_squad1-en
results:
- task:
name: Question Generation
type: Text2Text-Generation
widget:
- text: "sv1 </s> Louis 14 </s> Louis 14 was a French King."
---
# t... | 1,415 | [
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-0.049774169921875,
-0.0262451171875... |
lgessler/microbert-coptic-mx | 2022-12-23T18:54:25.000Z | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"cop",
"endpoints_compatible",
"region:us"
] | feature-extraction | lgessler | null | null | lgessler/microbert-coptic-mx | 0 | 777 | transformers | 2022-07-21T19:21:10 | ---
language: cop
widget:
- text: ⲁⲗⲗⲁ ⲁⲛⲟⲕ ⲁⲓⲥⲉⲧⲡⲧⲏⲩⲧⲛ ·
---
This is a [MicroBERT](https://github.com/lgessler/microbert) model for Coptic.
* Its suffix is **-mx**, which means that it was pretrained using supervision from masked language modeling and XPOS tagging.
* The unlabeled Coptic data was taken from version ... | 775 | [
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timm/deit3_small_patch16_384.fb_in22k_ft_in1k | 2023-03-28T01:27:53.000Z | [
"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_small_patch16_384.fb_in22k_ft_in1k | 0 | 777 | timm | 2023-03-28T01:27:36 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for deit3_small_patch16_384.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... | 3,056 | [
[
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syzymon/long_llama_3b | 2023-09-06T16:30:03.000Z | [
"transformers",
"pytorch",
"safetensors",
"longllama",
"text-generation",
"text-generation-inference",
"custom_code",
"dataset:togethercomputer/RedPajama-Data-1T",
"arxiv:2307.03170",
"arxiv:2305.16300",
"license:apache-2.0",
"has_space",
"region:us"
] | text-generation | syzymon | null | null | syzymon/long_llama_3b | 111 | 777 | transformers | 2023-06-30T13:23:07 | ---
license: apache-2.0
datasets:
- togethercomputer/RedPajama-Data-1T
pipeline_tag: text-generation
tags:
- text-generation-inference
---
# LongLLaMA: Focused Transformer Training for Context Scaling
[](https://colab.research.google.com/github/CStanKonr... | 11,001 | [
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Yntec/Hiten | 2023-09-24T05:50:52.000Z | [
"diffusers",
"Anime",
"BumblingOrange",
"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/Hiten | 2 | 777 | diffusers | 2023-09-24T05:05:58 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- BumblingOrange
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# Hiten
From: https://huggingface.co/BumblingOrange/Hiten/tree/main
Samples and prompts:
![Sample](https://cdn-upload... | 693 | [
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Helsinki-NLP/opus-mt-tc-big-en-ko | 2023-10-10T10:29:58.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"marian",
"text2text-generation",
"translation",
"opus-mt-tc",
"en",
"ko",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-tc-big-en-ko | 8 | 776 | transformers | 2022-08-12T08:02:12 | ---
language:
- en
- ko
tags:
- translation
- opus-mt-tc
license: cc-by-4.0
model-index:
- name: opus-mt-tc-big-en-ko
results:
- task:
name: Translation eng-kor
type: translation
args: eng-kor
dataset:
name: flores101-devtest
type: flores_101
args: eng kor devtest
metri... | 7,616 | [
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-0.046844482421875,
-0.05059814453125,
0.0273... |
microsoft/xtremedistil-l12-h384-uncased | 2021-08-05T17:49:31.000Z | [
"transformers",
"pytorch",
"tf",
"bert",
"feature-extraction",
"text-classification",
"en",
"arxiv:2106.04563",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | microsoft | null | null | microsoft/xtremedistil-l12-h384-uncased | 8 | 775 | transformers | 2022-03-02T23:29:05 | ---
language: en
thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
tags:
- text-classification
license: mit
---
# XtremeDistilTransformers for Distilling Massive Neural Networks
XtremeDistilTransformers is a distilled task-agnostic transformer model that leverages task transfer for learning a small uni... | 2,943 | [
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sail-rvc/HomerSimpson2333333 | 2023-07-14T07:23:41.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/HomerSimpson2333333 | 1 | 775 | transformers | 2023-07-14T07:23:20 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# HomerSimpson2333333
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:23:40
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reason: Convertin... | 387 | [
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Harveenchadha/vakyansh-wav2vec2-hindi-him-4200 | 2022-01-29T06:03:43.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"speech",
"hi",
"arxiv:2107.07402",
"license:mit",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | Harveenchadha | null | null | Harveenchadha/vakyansh-wav2vec2-hindi-him-4200 | 1 | 774 | transformers | 2022-03-02T23:29:04 | ---
language: hi
#datasets:
#- Interspeech 2021
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
license: mit
model-index:
- name: Wav2Vec2 Vakyansh Hindi Model by Harveen Chadha
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: Com... | 4,565 | [
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timm/resnet50.ram_in1k | 2023-04-05T18:14:28.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:1512.03385",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resnet50.ram_in1k | 0 | 774 | timm | 2023-04-05T18:14:08 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for resnet50.ram_in1k
A ResNet-B image classification model.
This model features:
* ReLU activations
* single layer 7x7 convolution with pooling
* 1x1 convolution shortcut downsample
Trained on ImageNet-1k in `timm` usi... | 38,094 | [
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timm/edgenext_base.in21k_ft_in1k | 2023-04-23T22:42:41.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k-p",
"arxiv:2206.10589",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/edgenext_base.in21k_ft_in1k | 0 | 774 | timm | 2023-04-23T22:42:29 | ---
tags:
- image-classification
- timm
library_name: timm
license: mit
datasets:
- imagenet-1k
- imagenet-21k-p
---
# Model card for edgenext_base.in21k_ft_in1k
An EdgeNeXt image classification model. Pretrained on ImageNet-21k-P (winter21 subset) and fine-tuned on ImageNet-1k by paper authors.
## Model Details
- **... | 3,850 | [
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KBLab/bert-base-swedish-lowermix-reallysimple-ner | 2023-04-19T07:18:42.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"token-classification",
"sequence-tagger-model",
"sv",
"dataset:KBLab/sucx3_ner",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | KBLab | null | null | KBLab/bert-base-swedish-lowermix-reallysimple-ner | 2 | 773 | transformers | 2022-03-02T23:29:04 | ---
model:
- KB/bert-base-swedish-cased
tags:
- token-classification
- sequence-tagger-model
- bert
language: sv
datasets:
- KBLab/sucx3_ner
widget:
- text: "Emil bor i Lönneberga"
---
# KB-BERT for NER
## Mixed cased and uncased data
This model is based on [KB-BERT](https://huggingface.co/KB/bert-base-swedish-cased... | 888 | [
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0.01445770... |
SenseTime/deformable-detr-with-box-refine-two-stage | 2023-09-07T06:13:42.000Z | [
"transformers",
"pytorch",
"safetensors",
"deformable_detr",
"object-detection",
"vision",
"dataset:coco",
"arxiv:2010.04159",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | object-detection | SenseTime | null | null | SenseTime/deformable-detr-with-box-refine-two-stage | 0 | 773 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- object-detection
- vision
datasets:
- coco
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/savanna.jpg
example_title: Savanna
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/football-match.jpg
example_title: Football Match
- s... | 4,610 | [
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0.004058837890625,
0.0157623291015625,
-0.0452880859375,
-0.03814697265625,
-0.0487060546875... |
timm/seresnextaa201d_32x8d.sw_in12k_ft_in1k_384 | 2023-07-26T20:11:38.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:1611.05431",
"arxiv:1904.11486",
"arxiv:1512.03385",
"arxiv:1709.01507",
"arxiv:1812.01187",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/seresnextaa201d_32x8d.sw_in12k_ft_in1k_384 | 1 | 773 | timm | 2023-07-26T20:09:16 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
---
# Model card for seresnextaa201d_32x8d.sw_in12k_ft_in1k_384
A SE-ResNeXt-D (Rectangle-2 Anti-Aliasing) image classification model with Squeeze-and-Excitation channel attention.
This model features:
* ReLU activations
* 3-layer stem o... | 40,012 | [
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digiplay/futaall_v8_VAE_diffusers | 2023-11-02T15:26:45.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | digiplay | null | null | digiplay/futaall_v8_VAE_diffusers | 2 | 773 | diffusers | 2023-11-02T10:06:16 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Sample image generated by huggingface's API :
Model info:
https://civitai.com/models/12... | 850 | [
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MaryaAI/opus-mt-en-ar-finetuned-Math-13-10-en-to-ar | 2021-10-17T08:27:27.000Z | [
"transformers",
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"generated_from_trainer",
"dataset:syssr_en_ar",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | MaryaAI | null | null | MaryaAI/opus-mt-en-ar-finetuned-Math-13-10-en-to-ar | 1 | 772 | transformers | 2022-03-02T23:29:04 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- syssr_en_ar
model-index:
- name: opus-mt-en-ar-finetuned-Math-13-10-en-to-ar
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, ... | 1,145 | [
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Vasanth/bert-base-uncased-finetuned-emotion | 2022-09-07T06:19:01.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | Vasanth | null | null | Vasanth/bert-base-uncased-finetuned-emotion | 2 | 772 | transformers | 2022-09-07T05:27:34 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: bert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: default
... | 1,826 | [
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KBLab/bert-base-swedish-cased | 2023-08-29T13:35:47.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"sv",
"arxiv:2007.01658",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | KBLab | null | null | KBLab/bert-base-swedish-cased | 6 | 771 | transformers | 2022-03-02T23:29:04 | ---
language: sv
arxiv: https://arxiv.org/abs/2007.01658
---
# Swedish BERT Models
The National Library of Sweden / KBLab releases three pretrained language models based on BERT and ALBERT. The models are trained on aproximately 15-20GB of text (200M sentences, 3000M tokens) from various sources (books, news, governm... | 6,569 | [
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0.01232... |
microsoft/beit-large-patch16-224-pt22k | 2023-05-08T17:42:53.000Z | [
"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-large-patch16-224-pt22k | 1 | 771 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- image-classification
- vision
datasets:
- imagenet
- imagenet-21k
---
# BEiT (large-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 introduce... | 4,940 | [
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twmkn9/distilroberta-base-squad2 | 2021-05-20T22:45:57.000Z | [
"transformers",
"pytorch",
"jax",
"roberta",
"question-answering",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | twmkn9 | null | null | twmkn9/distilroberta-base-squad2 | 0 | 771 | transformers | 2022-03-02T23:29:05 | This model is [Distilroberta base](https://huggingface.co/distilroberta-base) trained on SQuAD v2 as:
```
export SQUAD_DIR=../../squad2
python3 run_squad.py
--model_type robberta
--model_name_or_path distilroberta-base
--do_train
--do_eval
--overwrite_cache
--do_lower_case
--version_... | 1,205 | [
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0.0019063949584960938,
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peterchatain/mock_llama | 2023-06-12T21:14:02.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | peterchatain | null | null | peterchatain/mock_llama | 0 | 771 | transformers | 2023-06-07T21:58:57 | This is a mini llama model initialized randomly. It has a single transformer block, and hidden size of 2 in order to facilitate quick iteration during development.
config = LlamaConfig(
vocab_size=32000,
hidden_size=2,
intermediate_size=2,
num_hidden_layers=1,
num_attention_head... | 586 | [
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-0.053924560546875,
-0.00... |
facebook/mask2former-swin-tiny-ade-semantic | 2023-01-25T11:42:18.000Z | [
"transformers",
"pytorch",
"mask2former",
"vision",
"image-segmentation",
"dataset:coco",
"arxiv:2112.01527",
"arxiv:2107.06278",
"license:other",
"endpoints_compatible",
"has_space",
"region:us"
] | image-segmentation | facebook | null | null | facebook/mask2former-swin-tiny-ade-semantic | 1 | 770 | transformers | 2023-01-05T12:26:21 | ---
license: other
tags:
- vision
- image-segmentation
datasets:
- coco
widget:
- src: http://images.cocodataset.org/val2017/000000039769.jpg
example_title: Cats
- src: http://images.cocodataset.org/val2017/000000039770.jpg
example_title: Castle
---
# Mask2Former
Mask2Former model trained on ADE20k semantic segme... | 3,160 | [
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Yntec/Reddit | 2023-09-01T07:17:35.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"nutbutter",
"acheong08",
"license:creativeml-openrail-m",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/Reddit | 1 | 770 | diffusers | 2023-08-26T11:20:49 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- nutbutter
- acheong08
inference: false
---
Warning: This model is horny! Add "nude, naked" to the negative prompt if want to avoid NSFW.
# Reddit
A mix of Red... | 1,508 | [
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lightonai/RITA_s | 2022-05-19T08:22:49.000Z | [
"transformers",
"pytorch",
"rita",
"text-generation",
"protein",
"custom_code",
"dataset:uniref-100",
"arxiv:2205.05789",
"has_space",
"region:us"
] | text-generation | lightonai | null | null | lightonai/RITA_s | 2 | 769 | transformers | 2022-04-25T22:55:50 | ---
language: protein
tags:
- protein
datasets:
- uniref-100
---
# RITA-S
RITA is a family of autoregressive protein models, developed by a collaboration of [Lighton](https://lighton.ai/), the [OATML group](https://oatml.cs.ox.ac.uk/) at Oxford, and the [Debbie Marks Lab](https://www.deboramarkslab.com/) at Harvard.
... | 1,759 | [
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stockmark/gpt-neox-japanese-1.4b | 2023-09-07T03:44:19.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"gpt-neox",
"japanese",
"ja",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | stockmark | null | null | stockmark/gpt-neox-japanese-1.4b | 20 | 769 | transformers | 2023-08-06T07:37:38 | ---
license: mit
language:
- ja
library_name: transformers
pipeline_tag: text-generation
tags:
- gpt_neox
- gpt-neox
- japanese
inference:
parameters:
max_new_tokens: 32
do_sample: false
repetition_penalty: 1.1
---
# stockmark/gpt-neox-japanese-1.4b
This repository provides a GPT-NeoX based model with 1... | 1,884 | [
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PKU-Alignment/beaver-dam-7b | 2023-07-10T13:42:02.000Z | [
"safe-rlhf",
"pytorch",
"llama",
"beaver",
"safety",
"ai-safety",
"deepspeed",
"rlhf",
"alpaca",
"en",
"dataset:PKU-Alignment/BeaverTails",
"arxiv:2302.13971",
"text-generation-inference",
"region:us"
] | null | PKU-Alignment | null | null | PKU-Alignment/beaver-dam-7b | 0 | 768 | safe-rlhf | 2023-07-10T02:57:51 | ---
datasets:
- PKU-Alignment/BeaverTails
language:
- en
tags:
- beaver
- safety
- llama
- ai-safety
- deepspeed
- rlhf
- alpaca
library_name: safe-rlhf
---
# 🦫 BeaverDam Model Card
## Beaver-Dam-7B
Boasting 7 billion parameters, Beaver-Dam-7B is a powerful QA-Moderation model derived from the Llama-7B base model a... | 1,939 | [
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0.0509033203125,
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-0.0328369140625,
-0.05010986328125,
0.01017761... |
ckip-joint/bloom-1b1-zh | 2023-05-22T07:00:16.000Z | [
"transformers",
"pytorch",
"bloom",
"feature-extraction",
"text-generation",
"zh",
"arxiv:2303.04715",
"license:bigscience-bloom-rail-1.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | ckip-joint | null | null | ckip-joint/bloom-1b1-zh | 108 | 767 | transformers | 2023-02-17T08:44:12 | ---
license: bigscience-bloom-rail-1.0
language:
- zh
pipeline_tag: text-generation
widget:
- text: 四月的某一天，天氣晴朗寒冷，
- text: 問：台灣最高的建築物是？答：
---
<h1 style='text-align: center '>BLOOM-zh</h1>
<h2 style='text-align: center '><em>Traditional Chinese-enhanced BLOOM language model</em> </h2>
<h3 style='text-align: center '>... | 4,377 | [
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GanjinZero/biobart-v2-base | 2023-03-22T08:22:33.000Z | [
"transformers",
"pytorch",
"safetensors",
"bart",
"text2text-generation",
"biobart",
"biomedical",
"en",
"arxiv:2204.03905",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | GanjinZero | null | null | GanjinZero/biobart-v2-base | 1 | 766 | transformers | 2022-10-21T15:57:43 | ---
language:
- en
license: apache-2.0
tags:
- bart
- biobart
- biomedical
inference: true
widget:
- text: "Influenza is a <mask> disease."
- type: "text-generation"
---
Paper: [BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model](https://arxiv.org/pdf/2204.03905.pdf)
V2 adopts a new ... | 611 | [
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shi-labs/nat-mini-in1k-224 | 2022-11-18T23:11:45.000Z | [
"transformers",
"pytorch",
"nat",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:2204.07143",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | shi-labs | null | null | shi-labs/nat-mini-in1k-224 | 0 | 766 | transformers | 2022-11-15T22:19:31 | ---
license: mit
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: https://hugg... | 3,531 | [
[
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andrewfowl/kaijuqueens | 2023-01-22T22:05:24.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | andrewfowl | null | null | andrewfowl/kaijuqueens | 0 | 766 | diffusers | 2023-01-22T22:01:05 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### kaijuqueens Dreambooth model trained by andrewfowl with [buildspace's DreamBooth](https://colab.research.google.com/github/buildspace/diffusers/blob/main/examples/dreambooth/DreamBooth_Stable_Diffusion.ipynb) notebook
Build your own us... | 1,062 | [
[
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-0.0089416... |
Neko-Institute-of-Science/LLaMA-7B-HF | 2023-04-15T15:04:28.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"license:other",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Neko-Institute-of-Science | null | null | Neko-Institute-of-Science/LLaMA-7B-HF | 22 | 766 | transformers | 2023-04-06T00:08:54 | ---
license: other
---
LLaMA converted to Transformers. This is under a special license, please see the LICENSE file for details.
# LLaMA Model Card
https://github.com/facebookresearch/llama/blob/main/MODEL_CARD.md
# Torrent 7-65B
Note: the torrent has outdated tokenizer_config.json and special_tokens_map.json. Repla... | 607 | [
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0.02325439453125... |
mosaicml/mpt-1b-redpajama-200b | 2023-04-20T20:17:32.000Z | [
"transformers",
"pytorch",
"mosaic_gpt",
"text-generation",
"custom_code",
"dataset:togethercomputer/RedPajama-Data-1T",
"arxiv:2302.13971",
"arxiv:2205.14135",
"arxiv:2108.12409",
"license:apache-2.0",
"has_space",
"region:us"
] | text-generation | mosaicml | null | null | mosaicml/mpt-1b-redpajama-200b | 82 | 766 | transformers | 2023-04-19T23:34:25 | ---
license: apache-2.0
datasets:
- togethercomputer/RedPajama-Data-1T
---
# MPT-1b-RedPajama-200b
MPT-1b-RedPajama-200b is a 1.3 billion parameter decoder-only transformer trained on the [RedPajama dataset](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T).
The model was trained for 200B tokens by ... | 3,710 | [
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digiplay/polla_mix_2.5D | 2023-07-16T07:56:07.000Z | [
"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/polla_mix_2.5D | 3 | 766 | diffusers | 2023-07-16T06:57:17 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/110130?modelVersionId=118741
Sample image I made thru Huggingface's API :
![012d0578-2ea4-4041-986c-411c3ebd2460.jpeg](https://cdn-uploads.huggingface.co/pr... | 956 | [
[
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nota-ai/bk-sdm-small-2m | 2023-08-19T12:17:34.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"dataset:ChristophSchuhmann/improved_aesthetics_6.25plus",
"arxiv:2305.15798",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | nota-ai | null | null | nota-ai/bk-sdm-small-2m | 4 | 766 | diffusers | 2023-08-09T06:36:37 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
datasets:
- ChristophSchuhmann/improved_aesthetics_6.25plus
library_name: diffusers
pipeline_tag: text-to-image
extra_gated_prompt: >-
This model is open access and available to all, with a CreativeML OpenRAIL-M
... | 7,163 | [
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abbasgolestani/ag-nli-bert-mpnet-base-uncased-sentence-similarity-v1 | 2023-10-17T15:29:45.000Z | [
"sentence-transformers",
"pytorch",
"mpnet",
"feature-extraction",
"sentence-similarity",
"transformers",
"roberta",
"nli",
"endpoints_compatible",
"region:us"
] | sentence-similarity | abbasgolestani | null | null | abbasgolestani/ag-nli-bert-mpnet-base-uncased-sentence-similarity-v1 | 0 | 766 | sentence-transformers | 2023-09-21T16:08:03 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
- roberta
- nli
---
# BERT/MPnet base model (uncased)
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and... | 4,662 | [
[
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... |
akmalinn/surabaya_monument | 2023-10-30T12:36:04.000Z | [
"diffusers",
"text-to-image",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | akmalinn | null | null | akmalinn/surabaya_monument | 0 | 766 | diffusers | 2023-10-15T10:36:16 | ---
pipeline_tag: text-to-image
---
---
more fun https://training-stable-diffusion-bcvd.vercel.app/
| 101 | [
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climatebert/distilroberta-base-climate-f | 2023-05-04T13:05:20.000Z | [
"transformers",
"pytorch",
"safetensors",
"roberta",
"fill-mask",
"climate",
"en",
"arxiv:2110.12010",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | climatebert | null | null | climatebert/distilroberta-base-climate-f | 18 | 765 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: apache-2.0
tags:
- climate
---
# Model Card for distilroberta-base-climate-f
## Model Description
This is the ClimateBERT language model based on the FULL-SELECT sample selection strategy.
*Note: We generally recommend choosing this language model over those based on the other sample sele... | 3,122 | [
[
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timm/maxvit_large_tf_384.in1k | 2023-05-11T00:07:54.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.01697",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_large_tf_384.in1k | 0 | 765 | timm | 2022-12-02T21:51:58 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for maxvit_large_tf_384.in1k
An official MaxViT image classification model. Trained in tensorflow on ImageNet-1k by paper authors.
Ported from official Tensorflow implementation (https://github.com/g... | 22,119 | [
[
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MaryaAI/opus-mt-ar-en-finetuned-ar-to-en | 2021-09-07T07:26:24.000Z | [
"transformers",
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"generated_from_trainer",
"dataset:opus_wikipedia",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | MaryaAI | null | null | MaryaAI/opus-mt-ar-en-finetuned-ar-to-en | 0 | 764 | transformers | 2022-03-02T23:29:04 | ---
tags:
- generated_from_trainer
datasets:
- opus_wikipedia
model-index:
- name: opus-mt-ar-en-finetuned-ar-to-en
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: opus_wikipedia
type: opus_wikipedia
args: ar-en
---
<!-- This... | 1,285 | [
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0.01138... |
MilaNLProc/xlm-emo-t | 2023-03-27T17:52:36.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"emotion",
"emotion-analysis",
"multilingual",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | MilaNLProc | null | null | MilaNLProc/xlm-emo-t | 3 | 764 | transformers | 2022-04-06T08:56:26 | ---
language: multilingual
tags:
- emotion
- emotion-analysis
- multilingual
widget:
- text: "Guarda! ci sono dei bellissimi capibara!"
example_title: "Emotion Classification 1"
- text: "Sei una testa di cazzo!!"
example_title: "Emotion Classification 2"
- text: "Quelle bonne nouvelle!"
example_title: "Emotion ... | 2,643 | [
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0.041... |
Habana/distilbert-base-uncased | 2023-08-18T16:52:57.000Z | [
"optimum_habana",
"license:apache-2.0",
"region:us"
] | null | Habana | null | null | Habana/distilbert-base-uncased | 0 | 764 | null | 2022-04-22T18:06:11 | ---
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... | 2,190 | [
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Cletrason/toad-mario-movie | 2023-04-04T07:08:14.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Cletrason | null | null | Cletrason/toad-mario-movie | 0 | 764 | diffusers | 2023-04-04T06:37:35 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Toad-Mario-Movie- Dreambooth model trained by Cletrason 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... | 508 | [
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asi/gpt-fr-cased-small | 2022-10-20T18:30:45.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"fr",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | asi | null | null | asi/gpt-fr-cased-small | 8 | 763 | transformers | 2022-03-02T23:29:05 | ---
language:
- fr
model-index:
- name: asi/gpt-fr-cased-base
results:
- task:
type: text-generation
name: Wikitext-fr
dataset:
type: wikitext_fr
name: Wikitext-fr
metrics:
- type: perplexity
value: 109.2
name: Perplexity
- task:
type: text-classificati... | 7,510 | [
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0.021636962890625,
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microsoft/DialogRPT-depth | 2021-05-23T09:15:24.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-classification",
"arxiv:2009.06978",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-classification | microsoft | null | null | microsoft/DialogRPT-depth | 4 | 763 | 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 | `depth` score |
| :------ | :------- | :------------: |
| I love NLP! | Can anyone recommend a nice review paper? | 0.724 |
| I love NLP! | ... | 2,634 | [
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0.0... |
timm/vit_small_r26_s32_384.augreg_in21k_ft_in1k | 2023-05-06T00:52:45.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2106.10270",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_small_r26_s32_384.augreg_in21k_ft_in1k | 0 | 763 | timm | 2022-12-23T00:34:03 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for vit_small_r26_s32_384.augreg_in21k_ft_in1k
A ResNet - Vision Transformer (ViT) hybrid image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k (with additi... | 3,925 | [
[
-0.038665771484375,
-0.02685546875,
-0.0038394927978515625,
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-0.023101806640625,
-0.03350830078125,
0.0194091796875,
0.01922607421875,
-0.041473388671875,
-0.036102294921875,
-0.043731689453125,
... |
heegyu/kogpt-j-350m | 2023-03-05T08:25:08.000Z | [
"transformers",
"pytorch",
"jax",
"gptj",
"text-generation",
"ko",
"dataset:heegyu/korean-petitions",
"dataset:heegyu/namuwiki-extracted",
"dataset:heegyu/kowikitext",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | heegyu | null | null | heegyu/kogpt-j-350m | 4 | 763 | transformers | 2022-12-28T12:47:33 | ---
license: mit
widget:
- text: 오늘 아침 정부는 발표를 통해
- text: |
아 배고프다
datasets:
- heegyu/korean-petitions
- heegyu/namuwiki-extracted
- heegyu/kowikitext
language:
- ko
pipeline_tag: text-generation
---
## 모델 구성
- GPT-J(Flax, Pytorch)
- 20 Layers, 1024 hidden dim, 4096 intermediate, 16 heads, 51200 vocab size
- 1024 ... | 2,658 | [
[
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0.01137542724609375,
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-0.037567138671875,
-0.05364990234375,
0.010711... |
timm/convnextv2_nano.fcmae | 2023-03-31T23:39:04.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2301.00808",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/convnextv2_nano.fcmae | 0 | 763 | timm | 2023-01-05T01:55:10 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
---
# Model card for convnextv2_nano.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... | 15,741 | [
[
-0.07110595703125,
-0.03204345703125,
-0.00344085693359375,
0.0369873046875,
-0.031524658203125,
-0.0149993896484375,
-0.012664794921875,
-0.034423828125,
0.0654296875,
0.0185394287109375,
-0.044891357421875,
-0.038330078125,
-0.05303955078125,
-0.0033416748... |
darkvibes/stalle-2 | 2023-01-19T06:43:53.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | darkvibes | null | null | darkvibes/stalle-2 | 1 | 763 | diffusers | 2023-01-19T06:41:34 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### stalle-2 Dreambooth model trained by darkvibes 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... | 499 | [
[
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0.0282135009765625,
-0.024444580078125,
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0.005523681640625,
-0.01439666748046875,
-0.0201873779296875,
-0.036407470703125,
-0.01... |
MBZUAI/swiftformer-xs | 2023-05-12T03:07:18.000Z | [
"transformers",
"pytorch",
"swiftformer",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2303.15446",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | MBZUAI | null | null | MBZUAI/swiftformer-xs | 1 | 763 | transformers | 2023-04-14T05:43:46 | ---
datasets:
- imagenet-1k
library_name: transformers
pipeline_tag: image-classification
---
# SwiftFormer (swiftformer-xs)
## Model description
The SwiftFormer model was proposed in [SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications](https://arxiv.org/abs/2303.154... | 1,976 | [
[
-0.032989501953125,
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0.025054931640625,
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0.017822265625,
0.02264404296875,
-0.052154541015625,
-0.00017118453979492188,
-0.0480041503906... |
KoichiYasuoka/roberta-base-thai-spm-upos | 2022-09-18T10:44:34.000Z | [
"transformers",
"pytorch",
"roberta",
"token-classification",
"thai",
"pos",
"wikipedia",
"dependency-parsing",
"th",
"dataset:universal_dependencies",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | KoichiYasuoka | null | null | KoichiYasuoka/roberta-base-thai-spm-upos | 1 | 762 | transformers | 2022-03-02T23:29:04 | ---
language:
- "th"
tags:
- "thai"
- "token-classification"
- "pos"
- "wikipedia"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "apache-2.0"
pipeline_tag: "token-classification"
widget:
- text: "หลายหัวดีกว่าหัวเดียว"
---
# roberta-base-thai-spm-upos
## Model Description
This is a RoBERTa mod... | 1,360 | [
[
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0.023773193359375,
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0.0244140625,
0.0400390625,
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-0.048065185546875,
-0.058624267578125,
0.00952148437... |
indonesian-nlp/wav2vec2-large-xlsr-indonesian | 2021-07-06T06:15:38.000Z | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"speech",
"xlsr-fine-tuning-week",
"id",
"dataset:common_voice",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | indonesian-nlp | null | null | indonesian-nlp/wav2vec2-large-xlsr-indonesian | 8 | 762 | transformers | 2022-03-02T23:29:05 | ---
language: id
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Indonesian by Indonesian NLP
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
da... | 4,044 | [
[
-0.0229034423828125,
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0.014404296875,
0.03900146484375,
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-0.03900146484375,
-0.035736083984375,
-0.00158... |
unicamp-dl/translation-pt-en-t5 | 2021-10-11T03:47:04.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"translation",
"en",
"pt",
"dataset:EMEA",
"dataset:ParaCrawl 99k",
"dataset:CAPES",
"dataset:Scielo",
"dataset:JRC-Acquis",
"dataset:Biomedical Domain Corpora",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"tex... | translation | unicamp-dl | null | null | unicamp-dl/translation-pt-en-t5 | 17 | 762 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
- pt
datasets:
- EMEA
- ParaCrawl 99k
- CAPES
- Scielo
- JRC-Acquis
- Biomedical Domain Corpora
tags:
- translation
metrics:
- bleu
---
# Introduction
This repository brings an implementation of T5 for translation in PT-EN tasks using a modest hardware setup. We propose some changes ... | 1,819 | [
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... |
timm/vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k | 2023-05-06T00:53:03.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2106.10270",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k | 0 | 762 | timm | 2022-12-23T00:34:50 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k
A ResNet - Vision Transformer (ViT) hybrid image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k (with additi... | 3,922 | [
[
-0.037841796875,
-0.027435302734375,
-0.00323486328125,
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-0.024078369140625,
-0.033599853515625,
0.0194549560546875,
0.0175323486328125,
-0.040435791015625,
-0.034820556640625,
-0.043243408203125,
... |
xzuyn/PhotoMerge-inpainting | 2023-04-26T22:47:09.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | xzuyn | null | null | xzuyn/PhotoMerge-inpainting | 0 | 762 | diffusers | 2023-02-25T19:35:03 | ---
tags:
- stable-diffusion
- stable-diffusion-diffusers
---
Safetensors & previous versions can be found on [CivitAI](https://civitai.com/models/7116/photomerge). | 164 | [
[
-0.0213165283203125,
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-0.034576416015625,
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0.037200927734375,
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0.0205841064453125,
0.0276641845703125,
-0.0302886962890625,
-0.0162811279296875,
-0.0132827758789... |
Jinouga/makima-chainsaw-manv1 | 2023-07-20T10:46:52.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Jinouga | null | null | Jinouga/makima-chainsaw-manv1 | 2 | 762 | diffusers | 2023-06-11T00:06:03 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### makima_chainsaw_manV1 Dreambooth model trained by Jinouga 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 A11... | 510 | [
[
-0.03131103515625,
-0.053131103515625,
0.043914794921875,
0.0260772705078125,
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0.035888671875,
-0.009674072265625,
0.0589599609375,
0.00897216796875,
-0.035797119140625,
-0.0281219482421875,
-0.038970947265625,
-0.0147094... |
google/ddpm-church-256 | 2022-11-08T13:41:58.000Z | [
"diffusers",
"pytorch",
"unconditional-image-generation",
"arxiv:2006.11239",
"license:apache-2.0",
"has_space",
"diffusers:DDPMPipeline",
"region:us"
] | unconditional-image-generation | google | null | null | google/ddpm-church-256 | 7 | 761 | diffusers | 2022-07-19T10:42:51 | ---
license: apache-2.0
tags:
- pytorch
- diffusers
- unconditional-image-generation
---
# Denoising Diffusion Probabilistic Models (DDPM)
**Paper**: [Denoising Diffusion Probabilistic Models](https://arxiv.org/abs/2006.11239)
**Authors**: Jonathan Ho, Ajay Jain, Pieter Abbeel
**Abstract**:
*We present high qualit... | 2,978 | [
[
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... |
timm/resnet51q.ra2_in1k | 2023-03-22T07:27:39.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resnet51q.ra2_in1k | 0 | 761 | timm | 2023-03-22T07:27:18 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for resnet51q.ra2_in1k
A ResNet image classification model. This model features a 4-layer (quad) stem without pooling and SiLU activations. Trained on ImageNet-1k by Ross Wightman in `timm`.
This mod... | 4,269 | [
[
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-0.0287933349609375,
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-0.0126495361328125,
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0.0248870849609375,
0.0389404296875,
-0.04534912109375,
-0.048126220703125,
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... |
digiplay/ShampooMix_4 | 2023-07-04T17:28:03.000Z | [
"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/ShampooMix_4 | 2 | 761 | diffusers | 2023-06-20T08:34:34 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
https://civitai.com/models/33918/shampoo-mix
 | 290 | [
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0.011260986328125,
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0.0765380859375,
0.037872314453125,
-0.03216552734375,
-0.01715087890625,
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-... |
visheratin/nllb-clip-large-oc | 2023-10-24T17:42:34.000Z | [
"open_clip",
"clip",
"zero-shot-image-classification",
"dataset:visheratin/laion-coco-nllb",
"arxiv:2309.01859",
"license:cc-by-nc-4.0",
"region:us"
] | zero-shot-image-classification | visheratin | null | null | visheratin/nllb-clip-large-oc | 1 | 761 | open_clip | 2023-10-07T02:31:32 | ---
tags:
- clip
library_name: open_clip
pipeline_tag: zero-shot-image-classification
license: cc-by-nc-4.0
datasets:
- visheratin/laion-coco-nllb
---
## Model Summary
NLLB-CLIP is a model that combines a text encoder from the [NLLB model](https://huggingface.co/facebook/nllb-200-distilled-1.3B) and an image encoder ... | 915 | [
[
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-0.0167388916015625,
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0.028167724609375,
0.045013427734375,
-0.037445068359375,
-0.0304107666015625,
-0.02760314941406... |
Utkarshquytech/sd-german-shepherd | 2023-10-10T10:03:20.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Utkarshquytech | null | null | Utkarshquytech/sd-german-shepherd | 0 | 761 | diffusers | 2023-10-10T09:50:27 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### sd-german-shepherd Dreambooth model trained by Utkarshquytech 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... | 1,258 | [
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0.032470703125,
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0.016693115234375,
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0.03973388671875,
-0.003513336181640625,
-0.0343017578125,
-0.03753662109375,
-0.03814697265625,
-0.01760864257... |
timm/tf_efficientnet_es.in1k | 2023-04-27T21:29:12.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2003.02838",
"arxiv:1905.11946",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_es.in1k | 0 | 759 | timm | 2022-12-13T00:08:50 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_es.in1k
A EfficientNet-EdgeTPU image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model ... | 4,381 | [
[
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0.011627197265625,
0.020751953125,
-0.02569580078125,
-0.047210693359375,
-0.057373046875,
-... |
markussagen/xlm-roberta-longformer-base-4096 | 2022-03-30T09:24:39.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"fill-mask",
"longformer",
"multilingual",
"dataset:wikitext",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | markussagen | null | null | markussagen/xlm-roberta-longformer-base-4096 | 30 | 757 | transformers | 2022-03-02T23:29:05 | ---
tags:
- longformer
language: multilingual
license: apache-2.0
datasets:
- wikitext
---
## XLM-R Longformer Model / XLM-Long
XLM-R Longformer (or XLM-Long for short) is a XLM-R model that has been extended to allow sequence lengths up to 4096 tokens, instead of the regular 512. The model was pre-trained from the ... | 3,132 | [
[
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0.036102294921875,
-0.0537109375,
-0.031951904296875,
-0.03912353515625,
0.0... |
medalpaca/medalpaca-13b | 2023-07-18T21:54:56.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"medical",
"en",
"arxiv:2303.14070",
"license:cc",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | medalpaca | null | null | medalpaca/medalpaca-13b | 60 | 757 | transformers | 2023-03-30T13:43:05 | ---
license: cc
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- medical
---
# MedAlpaca 13b
## Table of Contents
[Model Description](#model-description)
- [Architecture](#architecture)
- [Training Data](#trainig-data)
[Model Usage](#model-usage)
[Limitations](#limitations) ... | 3,461 | [
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diffusers/controlnet-depth-sdxl-1.0-small | 2023-08-16T14:04:15.000Z | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"controlnet",
"license:openrail++",
"diffusers:ControlNetModel",
"region:us"
] | text-to-image | diffusers | null | null | diffusers/controlnet-depth-sdxl-1.0-small | 9 | 757 | diffusers | 2023-08-15T19:22:12 |
---
license: openrail++
base_model: stabilityai/stable-diffusion-xl-base-1.0
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- controlnet
inference: false
---
# SDXL-controlnet: Depth
These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with dep... | 5,321 | [
[
-0.048065185546875,
-0.04119873046875,
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... |
abhibisht89/spanbert-large-cased-finetuned-ade_corpus_v2 | 2021-11-21T15:23:59.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"spanbert",
"en",
"dataset:ade_corpus_v2",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | abhibisht89 | null | null | abhibisht89/spanbert-large-cased-finetuned-ade_corpus_v2 | 1 | 755 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- spanbert
datasets:
- ade_corpus_v2
widget:
- text: "Having fever after taking paracetamol."
example_title: "NER"
- text: "Birth defects associated with thalidomide."
example_title: "NER"
- text: "Deafness and kidney failure associated with gentamicin (an antibiotic)."
example_title: "NER"... | 752 | [
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0.037017822265625,
-0.056060791015625,
-0.040374755859375,
-0.060882568359375,
... |
timm/tf_efficientnet_cc_b0_8e.in1k | 2023-04-27T21:28:32.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1904.04971",
"arxiv:1905.11946",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_cc_b0_8e.in1k | 0 | 755 | timm | 2022-12-13T00:08:01 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_cc_b0_8e.in1k
A EfficientNet-CondConv image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- *... | 4,517 | [
[
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-0.03961181640625,
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... |
timm/vit_relpos_medium_patch16_224.sw_in1k | 2023-05-05T22:04:22.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2111.09883",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_relpos_medium_patch16_224.sw_in1k | 0 | 755 | timm | 2022-12-23T00:20:58 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for vit_relpos_medium_patch16_224.sw_in1k
A Vision Transformer (ViT) image classification model. This is a `timm` specific variation of the ViT architecture with relative position embeddings, no clas... | 4,174 | [
[
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0.0284881591796875,
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-0.0390625,
-0.05181884765625,
-0.005321... |
timm/vit_srelpos_medium_patch16_224.sw_in1k | 2023-05-05T22:04:31.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2111.09883",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_srelpos_medium_patch16_224.sw_in1k | 0 | 755 | timm | 2022-12-23T00:22:14 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for vit_srelpos_medium_patch16_224.sw_in1k
A Vision Transformer (ViT) image classification model. This is a `timm` specific variation of the ViT architecture with shared relative position embeddings,... | 4,184 | [
[
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-0.0245513916015625,
-0.0052490234375,
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0.0196533203125,
0.0266265869140625,
-0.04400634765625,
-0.037261962890625,
-0.053985595703125,
-0.... |
timm/coatnet_rmlp_1_rw2_224.sw_in12k | 2023-05-10T23:46:43.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-12k",
"arxiv:2201.03545",
"arxiv:2111.09883",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/coatnet_rmlp_1_rw2_224.sw_in12k | 0 | 755 | timm | 2023-01-20T21:26:50 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-12k
---
# Model card for coatnet_rmlp_1_rw2_224.sw_in12k
A timm specific CoAtNet (w/ a MLP Log-CPB (continuous log-coordinate relative position bias motivated by Swin-V2) image classification model. Trained in `timm` on... | 22,273 | [
[
-0.050933837890625,
-0.0318603515625,
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0.054473876953125,
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-0.0413818359375,
-0.045166015625,
-0.04888916015625,
... |
timm/swin_base_patch4_window7_224.ms_in1k | 2023-03-18T04:03:37.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2103.14030",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/swin_base_patch4_window7_224.ms_in1k | 0 | 755 | timm | 2023-03-18T04:03:03 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for swin_base_patch4_window7_224.ms_in1k
A Swin Transformer image classification model. Pretrained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbon... | 4,405 | [
[
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-0.033721923828125,
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0.003986358642578125,
0.0285491943359375,
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-0.05029296875,
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... |
PublicPrompts/All-In-One-Pixel-Model | 2023-05-11T13:45:47.000Z | [
"diffusers",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | PublicPrompts | null | null | PublicPrompts/All-In-One-Pixel-Model | 174 | 754 | diffusers | 2022-11-09T17:01:47 | ---
license: creativeml-openrail-m
---
Stable Diffusion model trained using dreambooth to create pixel art, in 2 styles
the sprite art can be used with the trigger word "pixelsprite"
the scene art can be used with the trigger word "16bitscene"
the art is not pixel perfect, but it can be fixed with pixelating tools li... | 1,586 | [
[
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-0.0576171875,
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-0.0247039794921875,
0.046630859375,
0.031951904296875,
-0.045013427734375,
-0.034393310546875,
-0.0284881591796875,
-0.016... |
jzli/DreamShaper-3.32 | 2023-03-10T09:12:28.000Z | [
"diffusers",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | jzli | null | null | jzli/DreamShaper-3.32 | 7 | 754 | diffusers | 2023-01-27T00:42:07 | This is DreamShaper 3.32 with baked-in vae and clip fix
You can try it out here: https://sinkin.ai/m/4zdwGOB
Read more about it here: https://civitai.com/models/4384/dreamshaper | 179 | [
[
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0.024658203125,
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0.0307769775390625,
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0.05914306640625,
-0.041015625,
-0.0147705078125,
-0.0288848876953125,
-0.035797119... |
rmada/rMadArt2.5 | 2023-03-18T11:11:10.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"art",
"artistic",
"en",
"license:other",
"has_space",
"region:us"
] | text-to-image | rmada | null | null | rmada/rMadArt2.5 | 28 | 754 | diffusers | 2023-02-03T20:49:42 | ---
language:
- en
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- art
- artistic
- diffusers
inference: false
---
# rMadArt 2.5 is SD 1.5 model fine tuned
## + rMadaArt UI APP for Windows (see bottom of page)
More examples: https://openart.ai/@raudemer_enchanting_8k
### Exa... | 3,454 | [
[
-0.062225341796875,
-0.041046142578125,
0.011688232421875,
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0.00... |
Jinouga/temariv1 | 2023-07-20T01:49:02.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | Jinouga | null | null | Jinouga/temariv1 | 1 | 754 | diffusers | 2023-06-19T00:17:55 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### temariV1 Dreambooth model trained by Jinouga 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 [fas... | 497 | [
[
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-0.05615234375,
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0.0142822265625,
-0.0141754150390625,
0.05145263671875,
-0.002483367919921875,
-0.019775390625,
-0.028778076171875,
-0.038787841796875,
-0.013839721679... |
praeclarum/cuneiform | 2023-06-08T13:31:35.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"cuneiform",
"akkadian",
"sumerian",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | praeclarum | null | null | praeclarum/cuneiform | 5 | 753 | transformers | 2022-07-19T21:06:21 | ---
license: mit
tags:
- cuneiform
- akkadian
- sumerian
---
# Sumerian and Akkadian Cuneiform Language Translator
This is a translation network that understands Sumerian and Akkadian languages written in cuneiform.
It was trained on cuneiform transcribed in the CDLI ATF format. For example:
```text
translate Akkad... | 1,001 | [
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-0.060760498046875,
0.05010... |
timm/resnext101_32x8d.fb_wsl_ig1b_ft_in1k | 2023-04-05T19:07:54.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:1805.00932",
"arxiv:1611.05431",
"arxiv:1512.03385",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/resnext101_32x8d.fb_wsl_ig1b_ft_in1k | 0 | 753 | timm | 2023-04-05T19:06:41 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
---
# Model card for resnext101_32x8d.fb_wsl_ig1b_ft_in1k
A ResNeXt-B image classification model.
This model features:
* ReLU activations
* single layer 7x7 convolution with pooling
* 1x1 convolution shortcut downsample
* grouped 3x3 ... | 38,841 | [
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timm/tf_efficientnet_em.in1k | 2023-04-27T21:29:07.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2003.02838",
"arxiv:1905.11946",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_em.in1k | 0 | 752 | timm | 2022-12-13T00:08:42 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_em.in1k
A EfficientNet-EdgeTPU image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model ... | 4,382 | [
[
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... |
Yukang/LongAlpaca-70B | 2023-11-01T12:57:26.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"arxiv:2309.12307",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Yukang | null | null | Yukang/LongAlpaca-70B | 10 | 752 | transformers | 2023-10-09T02:53:36 | # LongLoRA and LongAlpaca for Long-context LLMs
[](https://huggingface.co/Yukang)
[](https://github.com/dvlab-research/LongLoRA)
[![Data](https://img.shields.io/badge/Data-LongAl... | 22,795 | [
[
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-0.0217742919921875,
-0.05181884765625,
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0.034393310546875,
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-0.05615234375,
-0.031829833984375,
0.010894775... |
timm/resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384 | 2023-03-22T21:35:58.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2106.05237",
"arxiv:1912.11370",
"arxiv:1603.05027",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384 | 0 | 751 | timm | 2023-03-22T21:32:36 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384
A ResNet-V2-BiT (Big Transfer w/ pre-activation ResNet) image classification model. Pretrained on ImageNet-21k and fine-tuned on Im... | 5,189 | [
[
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-0.0281219482421875,
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0.0296173095703125,
-0.02301025390625,
-0.0440673828125,
-0.0614013671875,
-0.0105... |
Naseej/noon-7b | 2023-06-21T16:42:13.000Z | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"instructional",
"question-answering",
"arabic",
"ar",
"en",
"license:bigscience-bloom-rail-1.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Naseej | null | null | Naseej/noon-7b | 35 | 751 | transformers | 2023-05-20T19:21:26 | ---
license: bigscience-bloom-rail-1.0
language:
- ar
- en
pipeline_tag: text-generation
tags:
- instructional
- question-answering
- arabic
widget:
- text: اكتب مقال عن الذكاء الصناعي وتطوراته.
example_title: Instruction 1
- text: اعط بعض النصائح عن كيفية الحفاظ على حياة صحية.
example_title: Instruction 2
- text: ... | 6,491 | [
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-0.05230712890625,
... |
ddobokki/ko-trocr | 2023-09-07T04:57:53.000Z | [
"transformers",
"pytorch",
"safetensors",
"vision-encoder-decoder",
"ocr",
"image-to-text",
"ko",
"endpoints_compatible",
"region:us"
] | image-to-text | ddobokki | null | null | ddobokki/ko-trocr | 4 | 750 | transformers | 2023-03-09T05:43:24 | ---
language:
- ko
tags:
- ocr
widget:
- src: https://raw.githubusercontent.com/ddobokki/ocr_img_example/master/g.jpg
example_title: word1
- src: https://raw.githubusercontent.com/ddobokki/ocr_img_example/master/khs.jpg
example_title: word2
- src: https://raw.githubusercontent.com/ddobokki/ocr_img_example/master/m.... | 1,699 | [
[
-0.020538330078125,
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0.00415802001953125,
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0.005275726318359375,
0.0323486328125,
-0.03204345703125,
-0.0457763671875,
-0.042724609375,
... |
MNCJ1hun/Mistral-7B-OP-u1k-ver0.4 | 2023-10-30T10:45:54.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"MindsAndCompany",
"mistralai",
"en",
"ko",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | MNCJ1hun | null | null | MNCJ1hun/Mistral-7B-OP-u1k-ver0.4 | 0 | 750 | transformers | 2023-10-29T11:42:54 | ---
pipeline_tag: text-generation
license: apache-2.0
language:
- en
- ko
library_name: transformers
tags:
- MindsAndCompany
- mistralai
---
## Model Details
* **Developed by**: [Minds And Company](https://mnc.ai/)
* **Backbone Model**: [Mistral-7B-v0.1](mistralai/Mistral-7B-v0.1)
* **Library**: [HuggingFace Transfor... | 668 | [
[
-0.044830322265625,
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0.042633056640625,
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0.0408935546875,
0.04949951171875,
-0.06866455078125,
-0.047332763671875,
-0.031219482421875,
... |
timm/tf_efficientnetv2_l.in1k | 2023-04-27T21:40:51.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2104.00298",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnetv2_l.in1k | 0 | 749 | timm | 2022-12-13T00:15:27 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnetv2_l.in1k
A EfficientNet-v2 image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model Type... | 4,072 | [
[
-0.0266265869140625,
-0.034454345703125,
-0.004543304443359375,
0.006076812744140625,
-0.024169921875,
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-0.01953125,
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0.028961181640625,
-0.025543212890625,
-0.047332763671875,
-0.054901123046875,
-0... |
weqweasdas/hh_rlhf_rm_open_llama_3b | 2023-11-02T18:43:45.000Z | [
"transformers",
"pytorch",
"llama",
"text-classification",
"arxiv:2304.06767",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-classification | weqweasdas | null | null | weqweasdas/hh_rlhf_rm_open_llama_3b | 10 | 749 | transformers | 2023-07-14T11:38:16 | ---
# 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
{}
---
# Reward model for HH-RLHF
<!-- Provide a quick summary of what the model is/does. -->
In this repo, we present a reward ... | 5,417 | [
[
-0.0190277099609375,
-0.052459716796875,
0.01213836669921875,
-0.0012722015380859375,
-0.0283355712890625,
-0.0242462158203125,
-0.0014705657958984375,
-0.0302276611328125,
0.006847381591796875,
0.030853271484375,
-0.057403564453125,
-0.0265045166015625,
-0.0410... |
Linaqruf/hermitage-xl | 2023-08-04T16:44:02.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:openrail++",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | Linaqruf | null | null | Linaqruf/hermitage-xl | 15 | 749 | diffusers | 2023-07-30T03:10:54 | ---
license: openrail++
language:
- en
thumbnail: "https://huggingface.co/Linaqruf/hermitage-xl/resolve/main/sample_images/thumbnail.png"
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
inference: true
widget:
- text: >-
masterpiece, best quality, 1girl, brown hair, green eyes, c... | 9,448 | [
[
-0.047088623046875,
-0.064453125,
0.0245361328125,
0.02545166015625,
-0.018707275390625,
-0.01160430908203125,
0.01235198974609375,
-0.038360595703125,
0.038055419921875,
0.0172119140625,
-0.046783447265625,
-0.044158935546875,
-0.04693603515625,
-0.00062227... |
heegyu/42dot_LLM-PLM-1.3B-mt-steps-50000 | 2023-10-22T13:11:34.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | heegyu | null | null | heegyu/42dot_LLM-PLM-1.3B-mt-steps-50000 | 0 | 749 | transformers | 2023-10-20T10:20:17 | | Task |Version| Metric |Value | |Stderr|
|----------------|------:|--------|-----:|---|-----:|
|kobest_boolq | 0|acc |0.5520|± |0.0133|
| | |macro_f1|0.5341|± |0.0134|
|kobest_copa | 0|acc |0.7090|± |0.0144|
| | |macro_f1|0.7085|± |0.01... | 593 | [
[
-0.011199951171875,
-0.025390625,
0.030853271484375,
0.0050048828125,
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0.048004150390625,
-0.04327392578125,
-0.056060791015625,
-0.06640625,
-0.0161895751... |
prompthero/linkedin-diffusion | 2023-05-16T09:25:43.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | prompthero | null | null | prompthero/linkedin-diffusion | 61 | 748 | diffusers | 2022-11-06T20:05:42 | ---
inference: true
thumbnail: "https://s3.amazonaws.com/moonup/production/uploads/1667858259041-63265d019f9d19bfd4f45031.png"
language:
- en
tags:
- stable-diffusion
- text-to-image
license: creativeml-openrail-m
---
__Stable Diffusion fine tuned on LikedIn profile pictures, by [PromptHero](https://prompthero.c... | 1,396 | [
[
-0.044097900390625,
-0.061126708984375,
0.053436279296875,
0.0258636474609375,
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0.00926971435546875,
-0.000057697296142578125,
-0.02740478515625,
0.058746337890625,
0.034759521484375,
-0.062225341796875,
-0.0379638671875,
-0.03094482421875,
... |
digiplay/CampurSari_Gen1 | 2023-07-13T00:51:24.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | digiplay | null | null | digiplay/CampurSari_Gen1 | 3 | 748 | diffusers | 2023-07-12T23:56:40 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info:
https://civitai.com/models/77451?modelVersionId=82235
![](https://cdn-... | 921 | [
[
-0.0513916015625,
-0.030792236328125,
0.0229644775390625,
0.028961181640625,
-0.033203125,
0.0011310577392578125,
0.0189361572265625,
-0.033447265625,
0.050628662109375,
0.02130126953125,
-0.06884765625,
-0.03173828125,
-0.037322998046875,
-0.000940322875976... |
jbilcke-hf/sdxl-zelda64 | 2023-09-01T09:19:44.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:creativeml-openrail-m",
"region:us",
"has_space"
] | text-to-image | jbilcke-hf | null | null | jbilcke-hf/sdxl-zelda64 | 4 | 748 | diffusers | 2023-08-31T16:58:10 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: <s0><s1>
inference: false
---
# sdxl-zelda64 LoRA by Julian BILCKE (HF: [jbilcke-hf](https://huggingface.co/jbilcke-hf), Replicate: [jbilcke](https... | 2,692 | [
[
-0.01024627685546875,
-0.063232421875,
0.041229248046875,
0.02203369140625,
-0.01512908935546875,
-0.0151519775390625,
0.00948333740234375,
-0.0218658447265625,
0.049102783203125,
0.04742431640625,
-0.057373046875,
-0.051727294921875,
-0.038116455078125,
-0.... |
google/tapas-large-finetuned-tabfact | 2021-11-29T13:21:34.000Z | [
"transformers",
"pytorch",
"tf",
"tapas",
"text-classification",
"sequence-classification",
"en",
"dataset:tab_fact",
"arxiv:2010.00571",
"arxiv:2004.02349",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | google | null | null | google/tapas-large-finetuned-tabfact | 2 | 747 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- tapas
- sequence-classification
license: apache-2.0
datasets:
- tab_fact
---
# TAPAS large model fine-tuned on Tabular Fact Checking (TabFact)
This model has 2 versions which can be used. The latest version, which is the default one, corresponds to the `tapas_tabfact_inter_masklm_large_rese... | 4,870 | [
[
-0.0367431640625,
-0.066162109375,
0.0299835205078125,
0.01076507568359375,
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-0.0153045654296875,
-0.033966064453125,
0.0254364013671875,
0.041015625,
-0.033966064453125,
-0.03411865234375,
-0.04296875,
0.006855010986328... |
google/t5-small-ssm-nq | 2023-01-24T16:52:24.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"dataset:wikipedia",
"dataset:natural_questions",
"arxiv:2002.08909",
"arxiv:1910.10683",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-infe... | text2text-generation | google | null | null | google/t5-small-ssm-nq | 1 | 746 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- c4
- wikipedia
- natural_questions
pipeline_tag: text2text-generation
license: apache-2.0
---
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) for **Closed Book Question Answering**.
The model was pre-trained using T5's denoising objective on [C... | 2,798 | [
[
-0.044403076171875,
-0.0655517578125,
0.03277587890625,
-0.002666473388671875,
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-0.025604248046875,
-0.023956298828125,
-0.01548004150390625,
0.038787841796875,
-0.051483154296875,
-0.038604736328125,
-0.02764892578125... |
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