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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
keremberke/yolov8m-scene-classification | 2023-02-22T12:59:54.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"image-classification",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/indoor-scene-classification",
"model-index",
"region:us"
] | image-classification | keremberke | null | null | keremberke/yolov8m-scene-classification | 11 | 4,126 | ultralytics | 2023-01-27T01:49:03 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- image-classification
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.20
inference: false
datasets:
- keremberke/indoor-scene-classification
model-index:
- name: keremberke/yolov8m-scene-classification
results:
... | 2,613 | [
[
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0.0298614501953125,
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Yntec/InsaneM3U | 2023-07-30T21:42:31.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"digiplay",
"cordonsolution8",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/InsaneM3U | 4 | 4,122 | diffusers | 2023-07-27T22:39:42 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- digiplay
- cordonsolution8
---
# Insane m3u
A mix of m3u by digiplay and insaneRealistic by cordonsolution8.
DEMO images by digiplay!:
![cef5ba8... | 1,648 | [
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keremberke/yolov8m-building-segmentation | 2023-02-22T12:59:32.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"image-segmentation",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/satellite-building-segmentation",
"model-index",
"region:us"
] | image-segmentation | keremberke | null | null | keremberke/yolov8m-building-segmentation | 1 | 4,119 | ultralytics | 2023-01-27T01:30:25 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- image-segmentation
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.20
inference: false
datasets:
- keremberke/satellite-building-segmentation
model-index:
- name: keremberke/yolov8m-building-segmentation
results:... | 2,004 | [
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Kalyani03/mountain-valley-with-greenary-and-a-parrot | 2023-11-04T17:11:18.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | Kalyani03 | null | null | Kalyani03/mountain-valley-with-greenary-and-a-parrot | 0 | 4,110 | diffusers | 2023-11-04T17:07:06 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### Mountain-valley-with-greenary-and-a-parrot Dreambooth model trained by Kalyani03 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: MRCEW-325
Sample pictures of this concep... | 453 | [
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-... |
timm/vit_base_patch32_224.augreg_in21k | 2023-05-06T00:03:20.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-21k",
"arxiv:2106.10270",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_base_patch32_224.augreg_in21k | 0 | 4,101 | timm | 2022-12-22T07:33:04 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-21k
---
# Model card for vit_base_patch32_224.augreg_in21k
A Vision Transformer (ViT) image classification model. Trained on ImageNet-21k (with additional augmentation and regularization) in JAX by paper authors, ported... | 3,800 | [
[
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0.00074... |
gongati/my-game-xzg | 2023-11-05T16:21:34.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | gongati | null | null | gongati/my-game-xzg | 0 | 4,094 | diffusers | 2023-11-05T16:17:30 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Game-XZG Dreambooth model trained by gongati following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: MITS-241
Sample pictures of this concept:
![0](https://huggingface.co/... | 383 | [
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daklu/steph2 | 2023-10-13T00:12:45.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | daklu | null | null | daklu/steph2 | 0 | 4,091 | diffusers | 2023-10-13T00:07:35 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### steph2 Dreambooth model trained by daklu 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 [fast-Co... | 493 | [
[
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uklfr/gottbert-base | 2023-03-22T13:13:12.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"roberta",
"fill-mask",
"arxiv:2012.02110",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | uklfr | null | null | uklfr/gottbert-base | 14 | 4,086 | transformers | 2022-03-02T23:29:05 | # Gottbert-base
BERT model trained solely on the German portion of the OSCAR data set.
[Paper: GottBERT: a pure German Language Model](https://arxiv.org/abs/2012.02110)
Authors: Raphael Scheible, Fabian Thomczyk, Patric Tippmann, Victor Jaravine, Martin Boeker | 263 | [
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0.04150390625,
-0.038787841796875,
-0.030487060546875,
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Lykon/absolute-realism-1.6525 | 2023-08-27T16:05:48.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"art",
"artistic",
"absolute-realism",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Lykon | null | null | Lykon/absolute-realism-1.6525 | 1 | 4,086 | diffusers | 2023-08-27T16:05:47 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- art
- artistic
- diffusers
- absolute-realism
duplicated_from: lykon-absolute-realism/absolute-realism-1.6525
---
# Absolute realism 1 6525
`lykon-absolute-realism/absolute-realism-1-6525` is a St... | 1,520 | [
[
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0.02484130859375,
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... |
cross-encoder/nli-deberta-v3-large | 2021-12-28T19:10:37.000Z | [
"transformers",
"pytorch",
"deberta-v2",
"text-classification",
"microsoft/deberta-v3-large",
"zero-shot-classification",
"en",
"dataset:multi_nli",
"dataset:snli",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | zero-shot-classification | cross-encoder | null | null | cross-encoder/nli-deberta-v3-large | 14 | 4,074 | transformers | 2022-03-02T23:29:05 | ---
language: en
pipeline_tag: zero-shot-classification
tags:
- microsoft/deberta-v3-large
datasets:
- multi_nli
- snli
metrics:
- accuracy
license: apache-2.0
---
# Cross-Encoder for Natural Language Inference
This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net... | 2,784 | [
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0.0... |
keremberke/yolov8m-csgo-player-detection | 2023-02-22T13:03:52.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"object-detection",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/csgo-object-detection",
"model-index",
"region:us"
] | object-detection | keremberke | null | null | keremberke/yolov8m-csgo-player-detection | 6 | 4,073 | ultralytics | 2023-01-29T03:32:30 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- object-detection
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.21
inference: false
datasets:
- keremberke/csgo-object-detection
model-index:
- name: keremberke/yolov8m-csgo-player-detection
results:
- task:
... | 1,835 | [
[
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lllyasviel/control_v11e_sd15_ip2p | 2023-05-05T11:39:04.000Z | [
"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_ip2p | 12 | 4,070 | diffusers | 2023-04-14T19:26:03 | ---
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_ip2p
---
# Controlnet - v1.1 - *instruct pix2pix Version*
**Controlnet v1.1** was released in [lllyasviel/ControlNet... | 14,871 | [
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bigcode/starcoderbase-3b | 2023-06-30T17:05:55.000Z | [
"transformers",
"pytorch",
"gpt_bigcode",
"text-generation",
"code",
"dataset:bigcode/the-stack-dedup",
"arxiv:1911.02150",
"arxiv:2205.14135",
"arxiv:2207.14255",
"arxiv:2305.06161",
"license:bigcode-openrail-m",
"model-index",
"endpoints_compatible",
"has_space",
"text-generation-infer... | text-generation | bigcode | null | null | bigcode/starcoderbase-3b | 11 | 4,060 | transformers | 2023-06-30T16:48:35 | ---
pipeline_tag: text-generation
inference: true
widget:
- text: 'def print_hello_world():'
example_title: Hello world
group: Python
license: bigcode-openrail-m
datasets:
- bigcode/the-stack-dedup
metrics:
- code_eval
library_name: transformers
tags:
- code
model-index:
- name: StarCoderBase-3B
results:
- task... | 8,386 | [
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0.0224609375,
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0.00410... |
ostris/super-cereal-sdxl-lora | 2023-10-10T23:38:25.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"concept",
"comedy",
"cereal box",
"cereal",
"license:other",
"has_space",
"region:us"
] | text-to-image | ostris | null | null | ostris/super-cereal-sdxl-lora | 16 | 4,060 | diffusers | 2023-10-10T23:19:01 | ---
license: other
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- concept
- comedy
- cereal box
- cereal
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt:
widget:
- text: " boogers, free tissue inside"
- text: " star wars wookie bits, free lightsaber inside"
- text: " kitty litter c... | 1,237 | [
[
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-0... |
TheBloke/Mythalion-13B-GPTQ | 2023-09-27T12:48:02.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"text generation",
"instruct",
"en",
"dataset:PygmalionAI/PIPPA",
"dataset:Open-Orca/OpenOrca",
"dataset:Norquinal/claude_multiround_chat_30k",
"dataset:jondurbin/airoboros-gpt4-1.4.1",
"dataset:databricks/databricks-dolly-15k",
"lic... | text-generation | TheBloke | null | null | TheBloke/Mythalion-13B-GPTQ | 43 | 4,059 | transformers | 2023-09-05T22:02:52 | ---
language:
- en
license: llama2
tags:
- text generation
- instruct
datasets:
- PygmalionAI/PIPPA
- Open-Orca/OpenOrca
- Norquinal/claude_multiround_chat_30k
- jondurbin/airoboros-gpt4-1.4.1
- databricks/databricks-dolly-15k
model_name: Mythalion 13B
base_model: PygmalionAI/mythalion-13b
inference: false
model_creato... | 17,928 | [
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-0.0002... |
keremberke/yolov8m-valorant-detection | 2023-02-22T13:03:58.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"object-detection",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/valorant-object-detection",
"model-index",
"has_space",
"region:us"
] | object-detection | keremberke | null | null | keremberke/yolov8m-valorant-detection | 3 | 4,051 | ultralytics | 2023-01-28T21:08:38 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- object-detection
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.21
inference: false
datasets:
- keremberke/valorant-object-detection
model-index:
- name: keremberke/yolov8m-valorant-detection
results:
- task:
... | 1,860 | [
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DeepPavlov/distilrubert-tiny-cased-conversational | 2022-06-28T17:10:33.000Z | [
"transformers",
"pytorch",
"distilbert",
"ru",
"arxiv:2205.02340",
"endpoints_compatible",
"region:us"
] | null | DeepPavlov | null | null | DeepPavlov/distilrubert-tiny-cased-conversational | 1 | 4,050 | transformers | 2022-03-02T23:29:04 | ---
language:
- ru
---
WARNING: This is `distilrubert-small-cased-conversational` model uploaded with wrong name. This one is the same as [distilrubert-small-cased-conversational](https://huggingface.co/DeepPavlov/distilrubert-small-cased-conversational). `distilrubert-tiny-cased-conversational` could be found in [dis... | 4,178 | [
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0.00011307001113891602,
0.007343292236328125,
-0.034210205078125,
-0.03173828125,
-0.0553588867187... |
Yntec/animeTWO | 2023-09-18T10:59:02.000Z | [
"diffusers",
"Anime",
"Space",
"Cats",
"realisticElves",
"verxonous86495",
"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/animeTWO | 6 | 4,050 | diffusers | 2023-09-18T07:28:09 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Space
- Cats
- realisticElves
- verxonous86495
- text-to-image
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
---
#animeTWO
No-ema version of this model. animeTWOz has the ZVAE baked in.
Sample and pr... | 940 | [
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keremberke/yolov8m-forklift-detection | 2023-02-22T13:00:27.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"object-detection",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/forklift-object-detection",
"model-index",
"region:us"
] | object-detection | keremberke | null | null | keremberke/yolov8m-forklift-detection | 4 | 4,045 | ultralytics | 2023-01-22T08:31:11 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- object-detection
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.21
inference: false
datasets:
- keremberke/forklift-object-detection
model-index:
- name: keremberke/yolov8m-forklift-detection
results:
- task:
... | 1,826 | [
[
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OpenAssistant/falcon-7b-sft-top1-696 | 2023-06-06T10:29:02.000Z | [
"transformers",
"pytorch",
"RefinedWebModel",
"text-generation",
"sft",
"custom_code",
"en",
"de",
"es",
"fr",
"dataset:OpenAssistant/oasst1",
"license:apache-2.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | OpenAssistant | null | null | OpenAssistant/falcon-7b-sft-top1-696 | 19 | 4,045 | transformers | 2023-06-05T11:51:54 | ---
license: apache-2.0
language:
- en
- de
- es
- fr
tags:
- sft
pipeline_tag: text-generation
widget:
- text: >-
<|prompter|>What is a meme, and what's the history behind this
word?<|endoftext|><|assistant|>
- text: <|prompter|>What's the Earth total population<|endoftext|><|assistant|>
- text: >-
<|promp... | 4,303 | [
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microsoft/trocr-small-stage1 | 2023-01-24T16:57:48.000Z | [
"transformers",
"pytorch",
"vision-encoder-decoder",
"trocr",
"image-to-text",
"arxiv:2109.10282",
"endpoints_compatible",
"region:us"
] | image-to-text | microsoft | null | null | microsoft/trocr-small-stage1 | 4 | 4,040 | transformers | 2022-03-02T23:29:05 | ---
tags:
- trocr
- image-to-text
---
# TrOCR (small-sized model, pre-trained only)
TrOCR pre-trained only model. It was introduced in the paper [TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models](https://arxiv.org/abs/2109.10282) by Li et al. and first released in [this repository](http... | 2,390 | [
[
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Sahajtomar/German_Zeroshot | 2021-05-18T22:22:18.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"text-classification",
"nli",
"xnli",
"de",
"zero-shot-classification",
"multilingual",
"dataset:xnli",
"endpoints_compatible",
"has_space",
"region:us"
] | zero-shot-classification | Sahajtomar | null | null | Sahajtomar/German_Zeroshot | 19 | 4,036 | transformers | 2022-03-02T23:29:04 | ---
language: multilingual
tags:
- text-classification
- pytorch
- nli
- xnli
- de
datasets:
- xnli
pipeline_tag: zero-shot-classification
widget:
- text: "Letzte Woche gab es einen Selbstmord in einer nahe gelegenen kolonie"
candidate_labels: "Verbrechen,Tragödie,Stehlen"
hypothesis_template: "In deisem geht es u... | 1,711 | [
[
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0.... |
Theivaprakasham/layoutlmv2-finetuned-sroie | 2022-03-02T08:12:26.000Z | [
"transformers",
"pytorch",
"tensorboard",
"layoutlmv2",
"token-classification",
"generated_from_trainer",
"dataset:sroie",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | Theivaprakasham | null | null | Theivaprakasham/layoutlmv2-finetuned-sroie | 1 | 4,036 | transformers | 2022-03-02T23:29:05 | ---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
datasets:
- sroie
model-index:
- name: layoutlmv2-finetuned-sroie
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this c... | 9,818 | [
[
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0.0531005859375,
0.032135009765625,
-0.046783447265625,
-0.04376220703125,
-0.042938232421875,
... |
timm/mnasnet_small.lamb_in1k | 2023-04-27T21:14:06.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:1807.11626",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/mnasnet_small.lamb_in1k | 0 | 4,031 | timm | 2022-12-13T00:00:12 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for mnasnet_small.lamb_in1k
A MNasNet image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* A LAMB optimizer recipe that is similar t... | 4,400 | [
[
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lambdalabs/dreambooth-avatar | 2022-12-20T22:42:04.000Z | [
"diffusers",
"dreambooth",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | lambdalabs | null | null | lambdalabs/dreambooth-avatar | 45 | 4,031 | diffusers | 2022-12-19T00:52:35 | ---
language:
- en
thumbnail: "https://staticassetbucket.s3.us-west-1.amazonaws.com/avatar_grid.png"
tags:
- dreambooth
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
---
# Dreambooth style: Avatar
__Dreambooth finetuning of Stable Diffusion (v1.5.1) on Avatar art style by [Lambda Labs](https://la... | 1,720 | [
[
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ItsJayQz/SynthwavePunk-v2 | 2023-05-08T12:14:11.000Z | [
"diffusers",
"safetensors",
"stable-diffusion",
"text-to-image",
"synthwave",
"merge",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | ItsJayQz | null | null | ItsJayQz/SynthwavePunk-v2 | 128 | 4,030 | diffusers | 2022-12-02T20:58:52 | ---
license: creativeml-openrail-m
language:
- en
tags:
- stable-diffusion
- text-to-image
- diffusers
- synthwave
- merge
inference: true
---
### SynthwavePunk
This is a 50/50 Merge of Synthwave and InkPunk you can use both of their keywords and use prompt weighting to balance between these two cool and complimentary... | 725 | [
[
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keremberke/yolov8m-plane-detection | 2023-02-22T13:03:36.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"object-detection",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/plane-detection",
"model-index",
"region:us"
] | object-detection | keremberke | null | null | keremberke/yolov8m-plane-detection | 5 | 4,030 | ultralytics | 2023-01-29T07:19:18 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- object-detection
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.21
inference: false
datasets:
- keremberke/plane-detection
model-index:
- name: keremberke/yolov8m-plane-detection
results:
- task:
type: o... | 1,771 | [
[
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liuhaotian/LLaVA-Lightning-MPT-7B-preview | 2023-11-05T02:04:28.000Z | [
"transformers",
"pytorch",
"llava_mpt",
"text-generation",
"license:cc-by-nc-sa-4.0",
"region:us"
] | text-generation | liuhaotian | null | null | liuhaotian/LLaVA-Lightning-MPT-7B-preview | 42 | 4,030 | transformers | 2023-05-06T15:36:58 | ---
license: cc-by-nc-sa-4.0
inference: false
---
**NOTE: This is a research preview of the LLaVA-Lightning based on MPT-7B-chat checkpoint. The usage of the model should comply with MPT-7B-chat license and agreements.**
**NOTE: Unlike other LLaVA models, this model can (should) be used directly without delta weight... | 1,864 | [
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stablediffusionapi/eternitai-v2 | 2023-06-16T17:23:48.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/eternitai-v2 | 1 | 4,027 | diffusers | 2023-06-14T12:10:39 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# ETERNITAI v2 API Inference
## Get API Key
Get API key ... | 2,448 | [
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timm/maxvit_tiny_tf_512.in1k | 2023-05-11T00:24:02.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.01697",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_tiny_tf_512.in1k | 0 | 4,025 | timm | 2022-12-02T21:57:56 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for maxvit_tiny_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... | 22,111 | [
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anuragrawal/flan-t5-base-YT-transcript-sum | 2023-09-25T21:22:30.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | anuragrawal | null | null | anuragrawal/flan-t5-base-YT-transcript-sum | 0 | 4,023 | transformers | 2023-09-25T19:44:22 | ---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-YT-transcript-sum
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and c... | 3,023 | [
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-0.047821044921875,
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-... |
TheBloke/Llama-2-7B-Chat-GGUF | 2023-10-14T21:36:33.000Z | [
"transformers",
"llama",
"facebook",
"meta",
"pytorch",
"llama-2",
"text-generation",
"en",
"arxiv:2307.09288",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Llama-2-7B-Chat-GGUF | 125 | 4,021 | transformers | 2023-09-04T16:38:41 | ---
language:
- en
license: llama2
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
model_name: Llama 2 7B Chat
arxiv: 2307.09288
base_model: meta-llama/Llama-2-7b-chat-hf
inference: false
model_creator: Meta Llama 2
model_type: llama
pipeline_tag: text-generation
prompt_template: '[INST] <<SYS>>
You are a helpfu... | 27,478 | [
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keremberke/yolov8m-blood-cell-detection | 2023-02-22T13:04:24.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"object-detection",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/blood-cell-object-detection",
"model-index",
"region:us"
] | object-detection | keremberke | null | null | keremberke/yolov8m-blood-cell-detection | 7 | 4,018 | ultralytics | 2023-01-29T06:04:44 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- object-detection
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.23
inference: false
datasets:
- keremberke/blood-cell-object-detection
model-index:
- name: keremberke/yolov8m-blood-cell-detection
results:
- ta... | 1,846 | [
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bhadresh-savani/bert-base-uncased-emotion | 2023-03-22T08:43:48.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"text-classification",
"emotion",
"en",
"dataset:emotion",
"arxiv:1810.04805",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | bhadresh-savani | null | null | bhadresh-savani/bert-base-uncased-emotion | 17 | 4,016 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
license: apache-2.0
tags:
- text-classification
- emotion
- pytorch
datasets:
- emotion
metrics:
- Accuracy, F1 Score
thumbnail: https://avatars3.githubusercontent.com/u/32437151?s=460&u=4ec59abc8d21d5feea3dab323d23a5860e6996a4&v=4
model-index:
- name: bhadresh-savani/bert-base-uncased-emotion
resu... | 6,839 | [
[
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rubentito/vt5-base-spdocvqa | 2023-07-21T06:24:50.000Z | [
"transformers",
"pytorch",
"t5",
"DocVQA",
"Document Question Answering",
"Document Visual Question Answering",
"en",
"dataset:rubentito/sp-docvqa",
"arxiv:2007.00398",
"arxiv:2212.05935",
"license:gpl-3.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | rubentito | null | null | rubentito/vt5-base-spdocvqa | 0 | 4,015 | transformers | 2023-07-17T07:54:39 | ---
license: gpl-3.0
tags:
- DocVQA
- Document Question Answering
- Document Visual Question Answering
datasets:
- rubentito/sp-docvqa
language:
- en
---
# VT5 base fine-tuned on SP-DocVQA
This is VT5 base fine-tuned on [Single-Page DocVQA](https://arxiv.org/abs/2007.00398) (SP-DocVQA) dataset using the [MP-DocVQA fr... | 1,482 | [
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anuragrawal/distilbert-base-uncased-finetuned | 2023-10-04T23:21:25.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | anuragrawal | null | null | anuragrawal/distilbert-base-uncased-finetuned | 0 | 4,015 | transformers | 2023-10-03T18:06:44 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proof... | 2,292 | [
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timm/convnext_base.fb_in1k | 2023-03-31T22:01:27.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_base.fb_in1k | 0 | 4,013 | timm | 2022-12-13T07:06:24 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convnext_base.fb_in1k
A ConvNeXt image classification model. Pretrained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stat... | 15,619 | [
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sail-rvc/bruce | 2023-07-14T07:35:43.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/bruce | 0 | 4,013 | transformers | 2023-07-14T07:35:32 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# bruce
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:35:42
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reason: Converting into loadabl... | 373 | [
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deepmind/language-perceiver | 2022-08-10T07:28:22.000Z | [
"transformers",
"pytorch",
"perceiver",
"fill-mask",
"en",
"dataset:wikipedia",
"dataset:c4",
"arxiv:1810.04805",
"arxiv:2107.14795",
"arxiv:2004.03720",
"license:apache-2.0",
"autotrain_compatible",
"has_space",
"region:us"
] | fill-mask | deepmind | null | null | deepmind/language-perceiver | 14 | 4,008 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
license: apache-2.0
datasets:
- wikipedia
- c4
inference: false
---
# Perceiver IO for language
Perceiver IO model pre-trained on the Masked Language Modeling (MLM) task proposed in [BERT](https://arxiv.org/abs/1810.04805) using a large text corpus obtained by combining [English Wikipedia](https://... | 5,760 | [
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keremberke/yolov8m-painting-classification | 2023-02-22T13:04:03.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"image-classification",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/painting-style-classification",
"model-index",
"region:us"
] | image-classification | keremberke | null | null | keremberke/yolov8m-painting-classification | 0 | 4,007 | ultralytics | 2023-01-29T16:28:22 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- image-classification
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.23
inference: false
datasets:
- keremberke/painting-style-classification
model-index:
- name: keremberke/yolov8m-painting-classification
result... | 2,262 | [
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h2oai/h2ogpt-gm-oasst1-en-2048-falcon-7b-v2 | 2023-07-05T07:00:45.000Z | [
"transformers",
"pytorch",
"RefinedWebModel",
"text-generation",
"gpt",
"llm",
"large language model",
"h2o-llmstudio",
"conversational",
"custom_code",
"en",
"dataset:OpenAssistant/oasst1",
"license:apache-2.0",
"has_space",
"text-generation-inference",
"region:us"
] | conversational | h2oai | null | null | h2oai/h2ogpt-gm-oasst1-en-2048-falcon-7b-v2 | 60 | 4,007 | transformers | 2023-06-01T19:59:04 | ---
language:
- en
library_name: transformers
tags:
- gpt
- llm
- large language model
- h2o-llmstudio
inference: false
thumbnail: >-
https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico
license: apache-2.0
datasets:
- OpenAssistant/oasst1
pipeline_tag: conversational
---
# Model C... | 8,211 | [
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timm/swin_small_patch4_window7_224.ms_in22k_ft_in1k | 2023-03-18T04:14:54.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2103.14030",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/swin_small_patch4_window7_224.ms_in22k_ft_in1k | 0 | 4,000 | timm | 2023-03-18T04:14:38 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for swin_small_patch4_window7_224.ms_in22k_ft_in1k
A Swin Transformer image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model Details
... | 4,527 | [
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keremberke/yolov8m-hard-hat-detection | 2023-02-22T13:04:45.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"object-detection",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/hard-hat-detection",
"model-index",
"has_space",
"region:us"
] | object-detection | keremberke | null | null | keremberke/yolov8m-hard-hat-detection | 6 | 3,999 | ultralytics | 2023-01-29T09:10:59 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- object-detection
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.23
inference: false
datasets:
- keremberke/hard-hat-detection
model-index:
- name: keremberke/yolov8m-hard-hat-detection
results:
- task:
t... | 1,809 | [
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Salesforce/codegen-350M-multi | 2022-10-03T16:18:49.000Z | [
"transformers",
"pytorch",
"codegen",
"text-generation",
"arxiv:2203.13474",
"license:bsd-3-clause",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | Salesforce | null | null | Salesforce/codegen-350M-multi | 42 | 3,992 | transformers | 2022-04-11T16:11:35 | ---
license: bsd-3-clause
---
# CodeGen (CodeGen-Multi 350M)
## Model description
CodeGen is a family of autoregressive language models for **program synthesis** from the paper: [A Conversational Paradigm for Program Synthesis](https://arxiv.org/abs/2203.13474) by Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan... | 3,075 | [
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keremberke/yolov8m-chest-xray-classification | 2023-02-22T13:04:08.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"image-classification",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/chest-xray-classification",
"model-index",
"has_space",
"region:us"
] | image-classification | keremberke | null | null | keremberke/yolov8m-chest-xray-classification | 3 | 3,992 | ultralytics | 2023-01-28T03:58:34 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- image-classification
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.23
inference: false
datasets:
- keremberke/chest-xray-classification
model-index:
- name: keremberke/yolov8m-chest-xray-classification
results:... | 1,796 | [
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Yntec/epiCVision | 2023-08-17T03:53:13.000Z | [
"diffusers",
"Photorealistic",
"Realistic",
"Analog",
"Portrait",
"Semi-Realistic",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"SG_161222",
"epinikion",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipelin... | text-to-image | Yntec | null | null | Yntec/epiCVision | 9 | 3,992 | diffusers | 2023-08-17T03:14:17 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Photorealistic
- Realistic
- Analog
- Portrait
- Semi-Realistic
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- SG_161222
- epinikion
---
# epiCVision
A mix of epicRealism and r... | 1,246 | [
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keremberke/yolov8m-pcb-defect-segmentation | 2023-02-22T13:04:13.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"image-segmentation",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/pcb-defect-segmentation",
"model-index",
"region:us"
] | image-segmentation | keremberke | null | null | keremberke/yolov8m-pcb-defect-segmentation | 8 | 3,986 | ultralytics | 2023-01-28T08:23:55 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- image-segmentation
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.23
inference: false
datasets:
- keremberke/pcb-defect-segmentation
model-index:
- name: keremberke/yolov8m-pcb-defect-segmentation
results:
- t... | 2,065 | [
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rifkat/uztext-3Gb-BPE-Roberta | 2022-12-07T11:13:53.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"mit",
"robert",
"uzrobert",
"uzbek",
"cyrillic",
"latin",
"uz",
"doi:10.57967/hf/0210",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | rifkat | null | null | rifkat/uztext-3Gb-BPE-Roberta | 6 | 3,973 | transformers | 2022-03-02T23:29:05 |
---
language:
- uz
tags:
- transformers
- mit
- robert
- uzrobert
- uzbek
- cyrillic
- latin
license: apache-2.0
widget:
- text: "Kuchli yomg‘irlar tufayli bir qator <mask> kuchli sel oqishi kuzatildi."
example_title: "Latin script"
- text: "Алишер Навоий – улуғ ўзбек ва бошқа туркий халқларнинг <mask>, мутафаккири ... | 3,344 | [
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... |
Yntec/DreamLikeRemix | 2023-09-02T08:58:22.000Z | [
"diffusers",
"anime",
"Dreamlike",
"art",
"Retro",
"Elldreths",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:other",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/DreamLikeRemix | 2 | 3,971 | diffusers | 2023-08-11T14:26:00 | ---
license: other
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- anime
- Dreamlike
- art
- Retro
- Elldreths
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: false
---
# DreamLikeRemix
Samples and prompts:
![Sample](https://cdn-uploads.huggingface.co... | 1,341 | [
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faizonly5953/freya4 | 2023-10-30T12:06:59.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | faizonly5953 | null | null | faizonly5953/freya4 | 2 | 3,970 | diffusers | 2023-10-30T12:02:38 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Freya4 Dreambooth model trained by faizonly5953 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 [... | 500 | [
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keremberke/yolov8m-shoe-classification | 2023-02-22T13:05:01.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"image-classification",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/shoe-classification",
"model-index",
"region:us"
] | image-classification | keremberke | null | null | keremberke/yolov8m-shoe-classification | 0 | 3,969 | ultralytics | 2023-01-30T03:15:28 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- image-classification
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.23
inference: false
datasets:
- keremberke/shoe-classification
model-index:
- name: keremberke/yolov8m-shoe-classification
results:
- task:
... | 1,761 | [
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0.0078125,
0.00829315185546875,
-0.035064697265625,
-0.04736328125,
-0.0401611328125,
-0.0087661743164... |
keremberke/yolov8s-hard-hat-detection | 2023-02-22T13:03:30.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"object-detection",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/hard-hat-detection",
"model-index",
"region:us"
] | object-detection | keremberke | null | null | keremberke/yolov8s-hard-hat-detection | 1 | 3,965 | ultralytics | 2023-01-29T08:06:39 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- object-detection
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.21
inference: false
datasets:
- keremberke/hard-hat-detection
model-index:
- name: keremberke/yolov8s-hard-hat-detection
results:
- task:
t... | 1,809 | [
[
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timm/vit_small_patch16_384.augreg_in21k_ft_in1k | 2023-05-06T00:29:02.000Z | [
"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_patch16_384.augreg_in21k_ft_in1k | 2 | 3,962 | timm | 2022-12-22T07:54:55 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for vit_small_patch16_384.augreg_in21k_ft_in1k
A Vision Transformer (ViT) image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k (with additional augmentatio... | 3,909 | [
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keremberke/yolov8m-pokemon-classification | 2023-02-22T13:04:19.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"image-classification",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/pokemon-classification",
"model-index",
"region:us"
] | image-classification | keremberke | null | null | keremberke/yolov8m-pokemon-classification | 2 | 3,959 | ultralytics | 2023-01-28T05:02:37 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- image-classification
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.23
inference: false
datasets:
- keremberke/pokemon-classification
model-index:
- name: keremberke/yolov8m-pokemon-classification
results:
- t... | 3,001 | [
[
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keremberke/yolov8m-nlf-head-detection | 2023-02-22T13:04:40.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"object-detection",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/nfl-object-detection",
"model-index",
"region:us"
] | object-detection | keremberke | null | null | keremberke/yolov8m-nlf-head-detection | 2 | 3,959 | ultralytics | 2023-01-29T22:00:07 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- object-detection
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.23
inference: false
datasets:
- keremberke/nfl-object-detection
model-index:
- name: keremberke/yolov8m-nlf-head-detection
results:
- task:
... | 1,875 | [
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TheBloke/llava-v1.5-13B-AWQ | 2023-11-06T12:24:24.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/llava-v1.5-13B-AWQ | 9 | 3,956 | transformers | 2023-10-15T11:53:51 | ---
base_model: liuhaotian/llava-v1.5-13b
inference: false
license: llama2
model_creator: Haotian Liu
model_name: Llava v1.5 13B
model_type: llama
prompt_template: '{prompt}
'
quantized_by: TheBloke
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="... | 13,376 | [
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rinna/japanese-gpt-neox-3.6b | 2023-06-09T04:57:04.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"ja",
"lm",
"nlp",
"dataset:cc100",
"dataset:wikipedia",
"dataset:mc4",
"license:mit",
"text-generation-inference",
"region:us"
] | text-generation | rinna | null | null | rinna/japanese-gpt-neox-3.6b | 83 | 3,954 | transformers | 2023-05-17T02:16:45 | ---
language: ja
thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
tags:
- ja
- gpt_neox
- text-generation
- lm
- nlp
license: mit
datasets:
- cc100
- wikipedia
- mc4
inference: false
---
# japanese-gpt-neox-3.6b
# Overview
This repository provides a Ja... | 4,076 | [
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0.02117... |
elinas/llama-7b-hf-transformers-4.29 | 2023-04-22T23:35:32.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"4.29.0",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | elinas | null | null | elinas/llama-7b-hf-transformers-4.29 | 49 | 3,951 | transformers | 2023-04-22T20:13:36 | ---
license: other
tags:
- 4.29.0
---
# llama-7b-transformers-4.29
Original weights converted with the latest `transformers` version using the `LlamaTokenizerFast` implementation.
--
license: other
---
# LLaMA Model Card
## Model details
**Organization developing the model**
The FAIR team of Meta AI.
**Model date... | 8,333 | [
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superb/wav2vec2-base-superb-ks | 2021-11-04T16:03:39.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"audio-classification",
"speech",
"audio",
"en",
"dataset:superb",
"arxiv:2105.01051",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | audio-classification | superb | null | null | superb/wav2vec2-base-superb-ks | 8 | 3,950 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- superb
tags:
- speech
- audio
- wav2vec2
- audio-classification
widget:
- example_title: Speech Commands "down"
src: https://cdn-media.huggingface.co/speech_samples/keyword_spotting_down.wav
- example_title: Speech Commands "go"
src: https://cdn-media.huggingface.co/speech_samples/keywo... | 3,718 | [
[
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-... |
microsoft/xtremedistil-l6-h256-uncased | 2021-08-05T17:49:53.000Z | [
"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-l6-h256-uncased | 23 | 3,949 | 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... | 2,944 | [
[
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-0.00... |
matthewburke/korean_sentiment | 2022-01-16T02:31:37.000Z | [
"transformers",
"pytorch",
"electra",
"text-classification",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | matthewburke | null | null | matthewburke/korean_sentiment | 12 | 3,943 | transformers | 2022-03-02T23:29:05 | ```
from transformers import pipeline
classifier = pipeline("text-classification", model="matthewburke/korean_sentiment")
custom_tweet = "영화 재밌다."
preds = classifier(custom_tweet, return_all_scores=True)
is_positive = preds[0][1]['score'] > 0.5
```
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malteos/scincl | 2023-04-15T08:32:18.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"feature-extraction",
"en",
"dataset:SciDocs",
"dataset:s2orc",
"arxiv:2202.06671",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | malteos | null | null | malteos/scincl | 14 | 3,932 | transformers | 2022-03-02T23:29:05 | ---
tags:
- feature-extraction
language: en
datasets:
- SciDocs
- s2orc
metrics:
- F1
- accuracy
- map
- ndcg
license: mit
---
## SciNCL
SciNCL is a pre-trained BERT language model to generate document-level embeddings of research papers.
It uses the citation graph neighborhood to generate samples for contrastive lea... | 4,818 | [
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0.00901031494140625,
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-0.058837890625,
-0.0633544921875,
0.0... |
deepset/gelectra-base-germanquad | 2023-05-05T07:02:56.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"electra",
"question-answering",
"exbert",
"de",
"dataset:deepset/germanquad",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | deepset | null | null | deepset/gelectra-base-germanquad | 18 | 3,927 | transformers | 2022-03-02T23:29:05 | ---
language: de
datasets:
- deepset/germanquad
license: mit
thumbnail: https://thumb.tildacdn.com/tild3433-3637-4830-a533-353833613061/-/resize/720x/-/format/webp/germanquad.jpg
tags:
- exbert
---
... | 3,895 | [
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cvssp/audioldm2-large | 2023-08-29T14:41:29.000Z | [
"diffusers",
"arxiv:2308.05734",
"license:cc-by-nc-nd-4.0",
"diffusers:AudioLDM2Pipeline",
"region:us"
] | null | cvssp | null | null | cvssp/audioldm2-large | 3 | 3,922 | diffusers | 2023-08-21T11:00:35 | ---
license: cc-by-nc-nd-4.0
---
# AudioLDM 2 Large
AudioLDM 2 is a latent text-to-audio diffusion model capable of generating realistic audio samples given any text input.
It is available in the 🧨 Diffusers library from v0.21.0 onwards.
# Model Details
AudioLDM 2 was proposed in the paper [AudioLDM 2: Learning H... | 5,401 | [
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Geotrend/distilbert-base-fr-cased | 2023-04-02T15:53:50.000Z | [
"transformers",
"pytorch",
"safetensors",
"distilbert",
"fill-mask",
"fr",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | Geotrend | null | null | Geotrend/distilbert-base-fr-cased | 1 | 3,919 | transformers | 2022-03-02T23:29:04 | ---
language: fr
datasets: wikipedia
license: apache-2.0
---
# distilbert-base-fr-cased
We are sharing smaller versions of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) that handle a custom number of languages.
Our versions give exactly the same representations pro... | 1,278 | [
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0.018... |
faizonly5953/freya3 | 2023-10-30T11:25:53.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | faizonly5953 | null | null | faizonly5953/freya3 | 0 | 3,919 | diffusers | 2023-10-30T11:20:30 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Freya3 Dreambooth model trained by faizonly5953 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 [... | 500 | [
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-0.02587890625,
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-0.0056381... |
monsoon-nlp/hindi-bert | 2023-09-20T22:22:29.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"electra",
"feature-extraction",
"hi",
"doi:10.57967/hf/1305",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | monsoon-nlp | null | null | monsoon-nlp/hindi-bert | 15 | 3,914 | transformers | 2022-03-02T23:29:05 | ---
language: hi
---
# Releasing Hindi ELECTRA model
This is a first attempt at a Hindi language model trained with Google Research's [ELECTRA](https://github.com/google-research/electra).
**As of 2022 I recommend Google's MuRIL model trained on English, Hindi, and other major Indian languages, both in their script ... | 3,827 | [
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... |
EarthnDusk/insane-isometric | 2023-05-28T00:20:32.000Z | [
"diffusers",
"stable diffusion",
"finetune",
"isometric",
"landscape",
"anime",
"text-to-image",
"en",
"dataset:Nerfgun3/bad_prompt",
"dataset:gsdf/EasyNegative",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | EarthnDusk | null | null | EarthnDusk/insane-isometric | 5 | 3,910 | diffusers | 2023-05-27T23:03:58 | ---
license: creativeml-openrail-m
datasets:
- Nerfgun3/bad_prompt
- gsdf/EasyNegative
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable diffusion
- finetune
- isometric
- landscape
- anime
---
# Original Finetune based on https://civitai.com/models/20562
---
Join our Reddit: https://ww... | 1,110 | [
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0.0003... |
sd-dreambooth-library/taylorswift | 2023-05-16T09:31:27.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | sd-dreambooth-library | null | null | sd-dreambooth-library/taylorswift | 13 | 3,906 | diffusers | 2022-11-23T02:44:30 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### TaylorSwift Dreambooth model trained by taytay4eva with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook using the StableDiffusionv1.5 mod... | 3,560 | [
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0.008666992187... |
keremberke/yolov8m-pothole-segmentation | 2023-02-22T13:01:03.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"image-segmentation",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/pothole-segmentation",
"model-index",
"region:us"
] | image-segmentation | keremberke | null | null | keremberke/yolov8m-pothole-segmentation | 3 | 3,906 | ultralytics | 2023-01-26T06:42:07 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- image-segmentation
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.21
inference: false
datasets:
- keremberke/pothole-segmentation
model-index:
- name: keremberke/yolov8m-pothole-segmentation
results:
- task:
... | 1,984 | [
[
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timm/eva02_enormous_patch14_plus_clip_224.laion2b_s9b_b144k | 2023-04-11T01:04:03.000Z | [
"open_clip",
"zero-shot-image-classification",
"clip",
"license:mit",
"region:us",
"has_space"
] | zero-shot-image-classification | timm | null | null | timm/eva02_enormous_patch14_plus_clip_224.laion2b_s9b_b144k | 4 | 3,898 | open_clip | 2023-04-11T00:29:55 | ---
tags:
- zero-shot-image-classification
- clip
library_tag: open_clip
license: mit
---
# Model card for eva02_enormous_patch14_plus_clip_224.laion2b_s9b_b144k
| 162 | [
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antoniocappiello/bert-base-italian-uncased-squad-it | 2021-12-15T10:01:14.000Z | [
"transformers",
"pytorch",
"question-answering",
"it",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | antoniocappiello | null | null | antoniocappiello/bert-base-italian-uncased-squad-it | 4 | 3,894 | transformers | 2022-03-02T23:29:05 | ---
language: it
widget:
- text: "Quando nacque D'Annunzio?"
context: "D'Annunzio nacque nel 1863"
---
# Italian Bert Base Uncased on Squad-it
## Model description
This model is the uncased base version of the italian BERT (which you may find at `dbmdz/bert-base-italian-uncased`) trained on the question answering ... | 2,219 | [
[
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ckiplab/albert-base-chinese-ner | 2022-05-10T03:28:08.000Z | [
"transformers",
"pytorch",
"albert",
"token-classification",
"zh",
"license:gpl-3.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | ckiplab | null | null | ckiplab/albert-base-chinese-ner | 7 | 3,891 | transformers | 2022-03-02T23:29:05 | ---
language:
- zh
thumbnail: https://ckip.iis.sinica.edu.tw/files/ckip_logo.png
tags:
- pytorch
- token-classification
- albert
- zh
license: gpl-3.0
---
# CKIP ALBERT Base Chinese
This project provides traditional Chinese transformers models (including ALBERT, BERT, GPT2) and NLP tools (including word seg... | 1,129 | [
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alibidaran/t5-small-medical_transcription | 2023-11-01T18:33:37.000Z | [
"transformers",
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"summarization",
"generated_from_trainer",
"doi:10.57967/hf/1246",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | summarization | alibidaran | null | null | alibidaran/t5-small-medical_transcription | 2 | 3,891 | transformers | 2023-03-07T09:48:10 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-medical_transcription
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... | 2,454 | [
[
-0.03570556640625,
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0.034637451171875,
0.02471923828125,
-0.051300048828125,
-0.058258056640625,
-0.0501708984375,
... |
timm/convnextv2_pico.fcmae_ft_in1k | 2023-03-31T23:40:08.000Z | [
"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_pico.fcmae_ft_in1k | 0 | 3,889 | timm | 2023-01-05T01:56:09 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
datasets:
- imagenet-1k
- imagenet-1k
---
# Model card for convnextv2_pico.fcmae_ft_in1k
A ConvNeXt-V2 image classification model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE) and fine-tuned on ImageNet-1k.
#... | 15,785 | [
[
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cloudqi/cqi_text_to_image_pt_v0 | 2023-05-25T15:37:15.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"pt",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | cloudqi | null | null | cloudqi/cqi_text_to_image_pt_v0 | 11 | 3,888 | diffusers | 2023-03-20T02:34:32 | ---
license: creativeml-openrail-m
widget:
- text: |
Gato em alta qualidade na neve
tags:
- text-to-image
- stable-diffusion
language:
- pt
- en
---
# Texto para Imagem - Base PT (From Anything MidJ)
## Changelog
```
1. Modelo ajustado para adaptação à atualização do hugging
2. Otimizada entrada em pt/br
``` | 315 | [
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sentence-transformers/msmarco-distilbert-base-v3 | 2022-06-15T21:45:04.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"distilbert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/msmarco-distilbert-base-v3 | 4 | 3,886 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/msmarco-distilbert-base-v3
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional d... | 3,714 | [
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Intel/ColBERT-NQ | 2023-02-13T14:45:10.000Z | [
"transformers",
"pytorch",
"bert",
"colbert",
"en",
"dataset:natural_questions",
"license:cc-by-sa-3.0",
"endpoints_compatible",
"region:us"
] | null | Intel | null | null | Intel/ColBERT-NQ | 4 | 3,885 | transformers | 2023-02-07T12:55:52 | ---
license: cc-by-sa-3.0
datasets:
- natural_questions
language:
- en
tags:
- colbert
---
# ColBERT NQ Checkpoint
This trained model is based on the [ColBERT](https://github.com/stanford-futuredata/ColBERT) model, trained on the [Natural Questions](https://huggingface.co/datasets/natural_questions) dataset.
# Model... | 1,561 | [
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0.015... |
infgrad/stella-large-zh-v2 | 2023-10-19T06:57:57.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"mteb",
"arxiv:1612.00796",
"model-index",
"endpoints_compatible",
"region:us"
] | sentence-similarity | infgrad | null | null | infgrad/stella-large-zh-v2 | 17 | 3,885 | sentence-transformers | 2023-10-13T04:41:14 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
model-index:
- name: stella-large-zh-v2
results:
- task:
type: STS
dataset:
type: C-MTEB/AFQMC
name: MTEB AFQMC
config: default
split: validation
revision: No... | 37,870 | [
[
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0.016... |
Yntec/DucHaitenClassicAnime768 | 2023-09-10T22:21:14.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Classic Anime",
"DucHaiten",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/DucHaitenClassicAnime768 | 2 | 3,870 | diffusers | 2023-07-17T01:34:01 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- Classic Anime
- DucHaiten
---
# DucHaiten Classic Anime
768 version of this model with the Waifu 1.4 VAE baked in for the inference API based on the Fp16NoEma checkpoint. Use (80s anime style) or (gt... | 491 | [
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facebook/roscoe-512-roberta-base | 2023-01-12T17:07:11.000Z | [
"transformers",
"pytorch",
"roberta",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | facebook | null | null | facebook/roscoe-512-roberta-base | 3 | 3,867 | transformers | 2022-10-26T16:49:49 | ---
license: cc-by-nc-4.0
---
# roscoe-512-roberta-base
## Model description
Sentence embedding model for reasoning steps.
To obtain reasoning step embeddings, we finetune SimCSE (Gao et al., 2021), a
supervised sentence similarity model extending the RoBERTa word embedding model (Liu et al., 2019) on
multi-step reas... | 2,426 | [
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valhalla/distilbart-mnli-12-6 | 2021-06-14T10:32:03.000Z | [
"transformers",
"pytorch",
"jax",
"bart",
"text-classification",
"distilbart",
"distilbart-mnli",
"zero-shot-classification",
"dataset:mnli",
"endpoints_compatible",
"has_space",
"region:us"
] | zero-shot-classification | valhalla | null | null | valhalla/distilbart-mnli-12-6 | 9 | 3,861 | 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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CreativeLang/metaphor_detection_roberta_seq | 2023-09-25T22:08:17.000Z | [
"transformers",
"pytorch",
"roberta",
"token-classification",
"en",
"dataset:CreativeLang/vua20_metaphor",
"license:cc-by-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | CreativeLang | null | null | CreativeLang/metaphor_detection_roberta_seq | 1 | 3,857 | transformers | 2023-07-08T16:37:53 | ---
license: cc-by-2.0
datasets:
- CreativeLang/vua20_metaphor
language:
- en
---
# Metaphor_Detection_Roberta_Seq
## Description
- **Paper:** [FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning](https://aclanthology.org/2023.eacl-main.114.pdf)
## Model Summary
Creative Language Toolkit (CLTK) ... | 2,304 | [
[
-0.0390625,
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microsoft/unispeech-sat-base-plus-sv | 2021-12-17T13:56:17.000Z | [
"transformers",
"pytorch",
"unispeech-sat",
"audio-xvector",
"speech",
"en",
"arxiv:1912.07875",
"arxiv:2106.06909",
"arxiv:2101.00390",
"arxiv:2110.05752",
"endpoints_compatible",
"has_space",
"region:us"
] | null | microsoft | null | null | microsoft/unispeech-sat-base-plus-sv | 0 | 3,851 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
tags:
- speech
---
# UniSpeech-SAT-Base for Speaker Verification
[Microsoft's UniSpeech](https://www.microsoft.com/en-us/research/publication/unispeech-unified-speech-representation-learning-with-labeled-and-unlabeled-data/)
The model was pretrained on 16kHz sampled speech audio with utterance and... | 3,944 | [
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timm/vit_huge_patch14_224.orig_in21k | 2023-05-06T00:05:14.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-21k",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_huge_patch14_224.orig_in21k | 0 | 3,851 | timm | 2022-12-22T07:37:34 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-21k
---
# Model card for vit_huge_patch14_224.orig_in21k
A Vision Transformer (ViT) image classification model. Trained on ImageNet-21k in JAX by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- *... | 3,293 | [
[
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-0.04364013671875,
-0.0518798828125,
-... |
facebook/mask2former-swin-small-ade-semantic | 2023-09-11T20:46:08.000Z | [
"transformers",
"pytorch",
"safetensors",
"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-small-ade-semantic | 2 | 3,833 | transformers | 2023-01-05T12:25:51 | ---
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... | 3,163 | [
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-0.031463623046875,
-0.064208984375,
-0.025... |
baichuan-inc/Baichuan-13B-Base | 2023-07-19T03:37:12.000Z | [
"transformers",
"pytorch",
"baichuan",
"text-generation",
"custom_code",
"zh",
"en",
"arxiv:2104.09864",
"arxiv:2108.12409",
"arxiv:2009.03300",
"has_space",
"region:us"
] | text-generation | baichuan-inc | null | null | baichuan-inc/Baichuan-13B-Base | 166 | 3,827 | transformers | 2023-07-08T16:55:46 | ---
language:
- zh
- en
pipeline_tag: text-generation
inference: false
---
# Baichuan-13B-Base
<!-- Provide a quick summary of what the model is/does. -->
## 介绍
Baichuan-13B-Base为Baichuan-13B系列模型中的预训练版本，经过对齐后的模型可见[Baichuan-13B-Chat](https://huggingface.co/baichuan-inc/Baichuan-13B-Chat)。
[Baichuan-13B](https://githu... | 11,054 | [
[
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0.01451873779296875,
0.0216064453125,
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-0.043304443359375,
-0.038970947265625,
... |
sileod/deberta-v3-large-tasksource-nli | 2023-08-14T15:19:17.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta-v2",
"text-classification",
"deberta-v3-large",
"nli",
"natural-language-inference",
"multitask",
"multi-task",
"pipeline",
"extreme-multi-task",
"extreme-mtl",
"tasksource",
"zero-shot",
"rlhf",
"zero-shot-classification",
"en",
... | zero-shot-classification | sileod | null | null | sileod/deberta-v3-large-tasksource-nli | 18 | 3,814 | transformers | 2023-03-27T08:47:29 | ---
license: apache-2.0
language: en
tags:
- deberta-v3-large
- text-classification
- nli
- natural-language-inference
- multitask
- multi-task
- pipeline
- extreme-multi-task
- extreme-mtl
- tasksource
- zero-shot
- rlhf
pipeline_tag: zero-shot-classification
datasets:
- glue
- super_glue
- anli
- metaeval/babi_nli
- ... | 6,421 | [
[
-0.0265350341796875,
-0.032470703125,
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-0.047454833984375,
-0.036102294921875,
-0.054168701171875,
... |
uer/gpt2-distil-chinese-cluecorpussmall | 2023-10-17T15:21:19.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"zh",
"dataset:CLUECorpusSmall",
"arxiv:1909.05658",
"arxiv:2212.06385",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | uer | null | null | uer/gpt2-distil-chinese-cluecorpussmall | 10 | 3,812 | transformers | 2022-03-02T23:29:05 | ---
language: zh
datasets: CLUECorpusSmall
widget:
- text: "米饭是一种用稻米与水煮成的食物"
---
# Chinese GPT2 Models
## Model description
The set of GPT2 models, except for GPT2-xlarge model, are pre-trained by [UER-py](https://github.com/dbiir/UER-py/), which is introduced in [this paper](https://arxiv.org/abs/1909.05658). T... | 9,288 | [
[
-0.020233154296875,
-0.04803466796875,
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-0.0240631103515625,
-0.035675048828125,
-0.00460052490234375,
0.016693115234375,
-0.050262451171875,
-0.03582763671875,
-0.045623779296875,
... |
timm/tf_mobilenetv3_small_100.in1k | 2023-04-27T22:49:54.000Z | [
"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_100.in1k | 0 | 3,808 | timm | 2022-12-16T05:39:24 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_mobilenetv3_small_100.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 | [
[
-0.03076171875,
-0.026123046875,
-0.0011529922485351562,
0.00893402099609375,
-0.0268402099609375,
-0.029327392578125,
-0.00830841064453125,
-0.0265960693359375,
0.0204315185546875,
0.028961181640625,
-0.0227508544921875,
-0.058258056640625,
-0.046356201171875,
... |
Yntec/WoopWoopRemix | 2023-08-12T04:14:05.000Z | [
"diffusers",
"photorealistic",
"general",
"art",
"zoidbb",
"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/WoopWoopRemix | 1 | 3,806 | diffusers | 2023-08-12T03:30:10 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- photorealistic
- general
- art
- zoidbb
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
---
# WoopWoopRemix
A mix of WoopWoopPhoto and WoopWoopGeneral to get the best of both world... | 836 | [
[
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-0.05181884765625,
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0.00801849365234375,
0.0234832763671875,
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0.06256103515625,
0.028594970703125,
-0.0848388671875,
-0.02349853515625,
-0.04937744140625,
-0.0... |
Open-Orca/oo-phi-1_5 | 2023-09-22T01:23:50.000Z | [
"transformers",
"pytorch",
"mixformer-sequential",
"text-generation",
"custom_code",
"en",
"dataset:Open-Orca/OpenOrca",
"arxiv:2306.02707",
"arxiv:2301.13688",
"region:us"
] | text-generation | Open-Orca | null | null | Open-Orca/oo-phi-1_5 | 18 | 3,806 | transformers | 2023-09-13T02:13:44 | ---
datasets:
- Open-Orca/OpenOrca
language:
- en
library_name: transformers
pipeline_tag: text-generation
---
# Overview
Unreleased, untested, unfinished beta.
We've trained Microsoft Research's [phi-1.5](https://huggingface.co/microsoft/phi-1_5), 1.3B parameter model with the same OpenOrca dataset as we used with ... | 9,446 | [
[
-0.03778076171875,
-0.0682373046875,
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-0.057373046875,
0.005100250244140625,
0.0161895751953125,
-0.04388427734375,
-0.02587890625,
-0.0312347412109375,
0... |
timm/ViT-B-16-SigLIP-256 | 2023-10-25T21:57:36.000Z | [
"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-256 | 0 | 3,802 | open_clip | 2023-10-16T23:16:55 | ---
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-256
A SigLIP (Sigmoid loss for Language-Image Pre-training) model trained on WebLI.
This model has been converted to PyTorch from the original JAX c... | 3,161 | [
[
-0.0298614501953125,
-0.039459228515625,
0.01500701904296875,
0.0172882080078125,
-0.0343017578125,
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-0.0291748046875,
-0.0299835205078125,
0.023834228515625,
0.0182342529296875,
-0.039093017578125,
-0.058197021484375,
-0.055023193359375,
... |
microsoft/trocr-base-stage1 | 2023-01-24T16:57:30.000Z | [
"transformers",
"pytorch",
"vision-encoder-decoder",
"trocr",
"image-to-text",
"arxiv:2109.10282",
"endpoints_compatible",
"has_space",
"region:us"
] | image-to-text | microsoft | null | null | microsoft/trocr-base-stage1 | 7 | 3,801 | transformers | 2022-03-02T23:29:05 | ---
tags:
- trocr
- image-to-text
---
# TrOCR (base-sized model, pre-trained only)
TrOCR pre-trained only model. It was introduced in the paper [TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models](https://arxiv.org/abs/2109.10282) by Li et al. and first released in [this repository](https... | 2,517 | [
[
-0.0189208984375,
-0.0242462158203125,
0.0031566619873046875,
-0.0236968994140625,
-0.0301055908203125,
-0.004161834716796875,
0.003704071044921875,
-0.052520751953125,
0.0093994140625,
0.043548583984375,
-0.033203125,
-0.0248870849609375,
-0.049346923828125,
... |
Muennighoff/SGPT-1.3B-weightedmean-msmarco-specb-bitfit | 2023-03-27T22:21:38.000Z | [
"sentence-transformers",
"pytorch",
"gpt_neo",
"feature-extraction",
"sentence-similarity",
"mteb",
"arxiv:2202.08904",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | Muennighoff | null | null | Muennighoff/SGPT-1.3B-weightedmean-msmarco-specb-bitfit | 5 | 3,797 | sentence-transformers | 2022-03-02T23:29:04 | ---
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
model-index:
- name: SGPT-1.3B-weightedmean-msmarco-specb-bitfit
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: ... | 65,370 | [
[
-0.0196533203125,
-0.03863525390625,
0.0307159423828125,
0.0175933837890625,
-0.035552978515625,
-0.0274200439453125,
-0.0220794677734375,
0.005077362060546875,
0.0195770263671875,
0.0173187255859375,
-0.051055908203125,
-0.02728271484375,
-0.061553955078125,
... |
emanjavacas/GysBERT | 2023-10-31T09:15:47.000Z | [
"transformers",
"pytorch",
"bert",
"endpoints_compatible",
"region:us"
] | null | emanjavacas | null | null | emanjavacas/GysBERT | 1 | 3,794 | transformers | 2022-09-21T14:01:23 | # GysBERT v1
This model is a Historical Language Model for Dutch coming from the [MacBERTh project](https://macberth.netlify.app/).
The architecture is based on BERT base uncased from the original BERT pre-training codebase.
The training material comes mostly from the DBNL and the Delpher newspaper dump.
The details... | 671 | [
[
-0.029754638671875,
-0.052703857421875,
0.033538818359375,
0.00628662109375,
-0.01136016845703125,
-0.027923583984375,
-0.004489898681640625,
-0.031982421875,
0.033477783203125,
0.036346435546875,
-0.04522705078125,
-0.039306640625,
-0.06378173828125,
-0.012... |
ioclab/control_v1p_sd15_brightness | 2023-05-25T10:35:20.000Z | [
"diffusers",
"image-to-image",
"controlnet",
"en",
"dataset:ioclab/grayscale_image_aesthetic_3M",
"license:creativeml-openrail-m",
"has_space",
"diffusers:ControlNetModel",
"region:us"
] | image-to-image | ioclab | null | null | ioclab/control_v1p_sd15_brightness | 141 | 3,793 | diffusers | 2023-04-19T06:14:12 | ---
license: creativeml-openrail-m
datasets:
- ioclab/grayscale_image_aesthetic_3M
language:
- en
library_name: diffusers
tags:
- image-to-image
- controlnet
---
# Model Card for ioclab/ioc-controlnet
This model brings brightness control to Stable Diffusion, allowing users to colorize grayscale images or recolor gene... | 1,590 | [
[
-0.0301666259765625,
-0.0169525146484375,
0.0209503173828125,
0.053375244140625,
-0.0203704833984375,
-0.044769287109375,
0.017791748046875,
-0.02337646484375,
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0.0179595947265625,
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-0.03839111328125,
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-0... |
castorini/afriberta_base | 2022-06-15T18:23:04.000Z | [
"transformers",
"pytorch",
"tf",
"xlm-roberta",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | castorini | null | null | castorini/afriberta_base | 0 | 3,792 | transformers | 2022-03-02T23:29:05 | Hugging Face's logo
---
language:
- om
- am
- rw
- rn
- ha
- ig
- pcm
- so
- sw
- ti
- yo
- multilingual
---
# afriberta_base
## Model description
AfriBERTa base is a pretrained multilingual language model with around 111 million parameters.
The model has 8 layers, 6 attention heads, 768 hidden units and 3072 feed fo... | 2,640 | [
[
-0.054290771484375,
-0.053924560546875,
0.0027790069580078125,
0.037322998046875,
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-0.032073974609375,
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0.03424072265625,
0.0272369384765625,
-0.04852294921875,
-0.02337646484375,
-0.06134033203125,
0... |
TheBloke/Mistral-11B-CC-Air-RP-AWQ | 2023-10-15T00:00:43.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"not-for-all-audiences",
"nsfw",
"pretrained",
"license:cc-by-nc-4.0",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Mistral-11B-CC-Air-RP-AWQ | 3 | 3,791 | transformers | 2023-10-14T23:40:22 | ---
base_model: Undi95/Mistral-11B-CC-Air-RP
inference: false
license: cc-by-nc-4.0
model_creator: Undi
model_name: Mistral 11B CC Air RP
model_type: mistral
prompt_template: 'Below is an instruction that describes a task. Write a response
that appropriately completes the request.
### Instruction:
{prompt}
... | 13,866 | [
[
-0.0389404296875,
-0.059814453125,
0.025726318359375,
0.00554656982421875,
-0.01474761962890625,
-0.01422882080078125,
0.00693511962890625,
-0.03704833984375,
0.0013647079467773438,
0.0263671875,
-0.054443359375,
-0.04034423828125,
-0.0248870849609375,
-0.01... |
deutsche-telekom/gbert-large-paraphrase-cosine | 2023-03-06T12:36:09.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"sentence-similarity",
"transformers",
"setfit",
"de",
"dataset:deutsche-telekom/ger-backtrans-paraphrase",
"license:mit",
"endpoints_compatible",
"region:us"
] | sentence-similarity | deutsche-telekom | null | null | deutsche-telekom/gbert-large-paraphrase-cosine | 15 | 3,782 | sentence-transformers | 2023-01-13T10:29:27 | ---
pipeline_tag: sentence-similarity
language:
- de
tags:
- sentence-transformers
- sentence-similarity
- transformers
- setfit
license: mit
datasets:
- deutsche-telekom/ger-backtrans-paraphrase
---
# German BERT large paraphrase cosine
This is a [sentence-transformers](https://www.SBERT.net) model.
It maps sent... | 2,803 | [
[
-0.035552978515625,
-0.07952880859375,
0.03924560546875,
0.0179290771484375,
-0.03204345703125,
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-0.03424072265625,
-0.0274200439453125,
0.0019512176513671875,
0.039642333984375,
-0.0400390625,
-0.0523681640625,
-0.04315185546875,
0.0055503... |
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