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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
google/mobilenet_v2_0.35_96 | 2023-05-16T16:38:30.000Z | [
"transformers",
"pytorch",
"mobilenet_v2",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:1801.04381",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | google | null | null | google/mobilenet_v2_0.35_96 | 0 | 746 | transformers | 2022-11-10T16:05:31 | ---
license: other
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: https://hu... | 3,313 | [
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timm/focalnet_small_srf.ms_in1k | 2023-03-18T04:35:36.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2203.11926",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/focalnet_small_srf.ms_in1k | 0 | 746 | timm | 2023-03-18T04:35:12 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for focalnet_small_srf.ms_in1k
A FocalNet image classification model. Pretrained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:... | 3,887 | [
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Xwin-LM/Xwin-LM-13B-V0.2 | 2023-10-13T05:36:06.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us",
"has_space"
] | text-generation | Xwin-LM | null | null | Xwin-LM/Xwin-LM-13B-V0.2 | 28 | 746 | transformers | 2023-10-13T05:16:11 | ---
license: llama2
---
<h3 align="center">
Xwin-LM: Powerful, Stable, and Reproducible LLM Alignment
</h3>
<p align="center">
<a href="https://github.com/Xwin-LM/Xwin-LM"><img src="https://img.shields.io/badge/GitHub-yellow.svg?style=social&logo=github"></a><a href="https://huggingface.co/Xwin-LM"><img src="https:... | 10,974 | [
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lcw99/t5-large-korean-text-summary | 2023-04-13T02:31:19.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"t5",
"text2text-generation",
"generated_from_keras_callback",
"ko",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | lcw99 | null | null | lcw99/t5-large-korean-text-summary | 5 | 745 | transformers | 2022-09-29T22:08:21 | ---
language:
- ko
tags:
- generated_from_keras_callback
model-index:
- name: t5-large-korean-text-summary
results: []
---
# t5-large-korean-text-summary
This model is a fine-tuning of [paust/pko-t5-large](https://huggingface.co/paust/pko-t5-large) model using AIHUB "summary and report generation data". This mode... | 2,040 | [
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rubentito/layoutlmv3-base-mpdocvqa | 2023-03-31T14:07:23.000Z | [
"transformers",
"pytorch",
"layoutlmv3",
"document-question-answering",
"DocVQA",
"Document Question Answering",
"Document Visual Question Answering",
"en",
"dataset:rubentito/mp-docvqa",
"arxiv:2212.05935",
"arxiv:1905.13648",
"license:gpl-3.0",
"endpoints_compatible",
"has_space",
"reg... | document-question-answering | rubentito | null | null | rubentito/layoutlmv3-base-mpdocvqa | 3 | 744 | transformers | 2023-02-21T07:56:11 | ---
license: gpl-3.0
tags:
- DocVQA
- Document Question Answering
- Document Visual Question Answering
datasets:
- rubentito/mp-docvqa
language:
- en
---
# LayoutLMv3 base fine-tuned on MP-DocVQA
This is pretrained LayoutLMv3 from [Microsoft hub](https://huggingface.co/microsoft/layoutlmv3-base) and fine-tuned on Mul... | 3,974 | [
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ajtamayoh/Negation_and_Uncertainty_Scope_Detection_mBERT_fine_tuned | 2023-06-11T17:03:34.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"token-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | ajtamayoh | null | null | ajtamayoh/Negation_and_Uncertainty_Scope_Detection_mBERT_fine_tuned | 0 | 744 | transformers | 2023-05-29T15:26:00 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: Negation_and_Uncertainty_Scope_Detection_mBERT_fine_tuned
results: []
widget:
- text: "Paciente con los antecedentes reseñados que ingresa por cuadro de escasas horas de evolución consistente en... | 4,323 | [
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SciPhi/SciPhi-Mistral-7B-32k | 2023-10-31T21:44:54.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | SciPhi | null | null | SciPhi/SciPhi-Mistral-7B-32k | 53 | 744 | transformers | 2023-10-16T16:58:43 | ---
license: mit
---
# SciPhi-Mistral-7B-32k Model Card
The SciPhi-Mistral-7B-32k is a Large Language Model (LLM) fine-tuned from Mistral-7B-v0.1. This model underwent a fine-tuning process over four epochs using more than 1 billion tokens, which include regular instruction tuning data and synthetic textbooks. The ob... | 3,043 | [
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Aniemore/rubert-tiny2-russian-emotion-detection | 2023-04-07T18:08:00.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"russian",
"classification",
"emotion",
"emotion-detection",
"emotion-recognition",
"multiclass",
"ru",
"dataset:Aniemore/cedr-m7",
"doi:10.57967/hf/1275",
"license:mit",
"model-index",
"endpoints_compatible",
... | text-classification | Aniemore | null | null | Aniemore/rubert-tiny2-russian-emotion-detection | 10 | 743 | transformers | 2022-05-22T21:00:03 | ---
license: mit
language: ["ru"]
tags:
- russian
- classification
- emotion
- emotion-detection
- emotion-recognition
- multiclass
widget:
- text: "Как дела?"
- text: "Дурак твой дед"
- text: "Только попробуй!!!"
- text: "Не хочу в школу("
- text: "Сейчас ровно час дня"
- text: "А ты уверен, что эти полоски снизу не ... | 3,806 | [
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... |
TurkuNLP/gpt3-finnish-8B | 2023-06-27T06:50:47.000Z | [
"transformers",
"pytorch",
"bloom",
"feature-extraction",
"text-generation",
"fi",
"arxiv:2203.02155",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | TurkuNLP | null | null | TurkuNLP/gpt3-finnish-8B | 1 | 743 | transformers | 2023-02-16T08:04:25 | ---
language:
- fi
pipeline_tag: text-generation
license: apache-2.0
---
Generative Pretrained Transformer with 8B parameteres for Finnish.
TurkuNLP Finnish GPT-3-models are a model family of pretrained monolingual GPT-style language models that are based on BLOOM-architecture.
Note that the models are pure language m... | 2,867 | [
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Jade1211/textual_inversion_singer2 | 2023-06-27T09:17:19.000Z | [
"diffusers",
"tensorboard",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"textual_inversion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Jade1211 | null | null | Jade1211/textual_inversion_singer2 | 0 | 743 | diffusers | 2023-06-27T07:36:20 |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- textual_inversion
inference: true
---
# Textual inversion text2image fine-tuning - Jade1211/textual_inversion_singer2
These are textual inversion adapti... | 421 | [
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TheBloke/Airoboros-L2-70B-3.1.2-GPTQ | 2023-10-22T11:48:18.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"dataset:jondurbin/airoboros-3.1",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Airoboros-L2-70B-3.1.2-GPTQ | 6 | 743 | transformers | 2023-10-21T12:11:56 | ---
base_model: jondurbin/airoboros-l2-70b-3.1.2
datasets:
- jondurbin/airoboros-3.1
inference: false
license: llama2
model_creator: Jon Durbin
model_name: Airoboros L2 70B 3.1.2
model_type: llama
prompt_template: '[INST] <<SYS>>
You are a helpful, unbiased, uncensored assistant.
<</SYS>>
{prompt} [/INST]
... | 43,211 | [
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sentence-transformers/bert-large-nli-mean-tokens | 2022-06-15T22:16:03.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/bert-large-nli-mean-tokens | 0 | 742 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
license: apache-2.0
---
**⚠️ This model is deprecated. Please don't use it as it produces sentence embeddings of low quality. You can find recommended sentence embedding models here: [SBERT.net... | 3,956 | [
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0.00... |
jordiclive/flan-t5-3b-summarizer | 2023-02-07T13:16:43.000Z | [
"transformers",
"pytorch",
"tf",
"t5",
"text2text-generation",
"summarization",
"extractive",
"summary",
"abstractive",
"multi-task",
"document summary",
"en",
"dataset:jordiclive/scored_summarization_datasets",
"license:apache-2.0",
"license:bsd-3-clause",
"autotrain_compatible",
"e... | summarization | jordiclive | null | null | jordiclive/flan-t5-3b-summarizer | 27 | 742 | transformers | 2023-01-06T16:41:42 | ---
language:
- en
license:
- apache-2.0
- bsd-3-clause
tags:
- summarization
- extractive
- summary
- abstractive
- multi-task
- document summary
datasets:
- jordiclive/scored_summarization_datasets
metrics:
- rouge
---
# Multi-purpose Summarizer (Fine-tuned 3B google/flan-t5-xl on several Summarization datasets)
<... | 3,413 | [
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0.02334... |
m42-health/med42-70b | 2023-10-12T14:36:09.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"m42",
"health",
"healthcare",
"clinical-llm",
"en",
"license:other",
"text-generation-inference",
"region:us",
"has_space"
] | text-generation | m42-health | null | null | m42-health/med42-70b | 82 | 742 | transformers | 2023-10-09T10:19:14 | ---
extra_gated_heading: Access Med42 on Hugging Face
extra_gated_description: >-
This is a form to enable access to Med42 on Hugging Face. Please read
the [Med42 License](https://huggingface.co/spaces/m42-health/License) and accept our
license terms and acceptable use policy before submitting this form. Requests... | 5,949 | [
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tau/bart-base-sled | 2022-08-10T14:15:52.000Z | [
"transformers",
"tau/sled",
"en",
"arxiv:2208.00748",
"arxiv:1910.13461",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | tau | null | null | tau/bart-base-sled | 1 | 741 | transformers | 2022-08-07T12:02:50 | ---
license: mit
language: en
---
# BART-SLED (SLiding-Encoder and Decoder, base-sized model)
SLED models use pretrained, short-range encoder-decoder models, and apply them over
long-text inputs by splitting the input into multiple overlapping chunks, encoding each independently and perform fusion-in-decoder
## Mo... | 4,271 | [
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Graphcore/distilbert-base-ipu | 2023-07-07T11:02:52.000Z | [
"optimum_graphcore",
"arxiv:1910.01108",
"license:apache-2.0",
"region:us"
] | null | Graphcore | null | null | Graphcore/distilbert-base-ipu | 0 | 741 | null | 2022-09-13T11:53:13 | ---
license: apache-2.0
---
# Graphcore/distilbert-base-ipu
Optimum Graphcore is a new open-source library and toolkit that enables developers to access IPU-optimized models certified by Hugging Face. It is an extension of Transformers, providing a set of performance optimization tools enabling maximum efficiency to ... | 1,558 | [
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timm/vit_relpos_small_patch16_224.sw_in1k | 2023-05-05T22:04:29.000Z | [
"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_small_patch16_224.sw_in1k | 0 | 741 | timm | 2022-12-23T00:21:57 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for vit_relpos_small_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 class... | 4,170 | [
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declare-lab/flan-alpaca-xl | 2023-08-21T06:50:39.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"dataset:tatsu-lab/alpaca",
"arxiv:2308.09662",
"arxiv:2306.04757",
"arxiv:2210.11416",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | declare-lab | null | null | declare-lab/flan-alpaca-xl | 117 | 741 | transformers | 2023-03-21T15:04:34 | ---
license: apache-2.0
datasets:
- tatsu-lab/alpaca
---
## 🍮 🦙 Flan-Alpaca: Instruction Tuning from Humans and Machines
📣 Introducing **Red-Eval** to evaluate the safety of the LLMs using several jailbreaking prompts. With **Red-Eval** one could jailbreak/red-team GPT-4 with a 65.1% attack success rate and ChatGP... | 5,815 | [
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PKU-Alignment/beaver-7b-v1.0-cost | 2023-07-12T13:50:28.000Z | [
"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-cost | 2 | 741 | safe-rlhf | 2023-07-10T09:05:58 | ---
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 Cost Model
## Model Details
The Beaver Cost model is ... | 2,610 | [
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-0.043182373046875,
... |
yentinglin/Taiwan-LLM-7B-v2.0-chat | 2023-11-02T08:44:37.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"zh",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | yentinglin | null | null | yentinglin/Taiwan-LLM-7B-v2.0-chat | 7 | 741 | transformers | 2023-10-09T10:46:58 |
---
# 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
license: apache-2.0
language:
- zh
widget:
- text: >-
A chat between a curious user and an artificial intelligence assist... | 1,484 | [
[
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0.03863525390625,
0.05975341796875,
-0.0323486328125,
-0.03851318359375,
-0.01953125,
-0.003458023... |
NbAiLab/nb-bert-large | 2023-09-11T12:08:15.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"norwegian",
"fill-mask",
"no",
"license:cc-by-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | NbAiLab | null | null | NbAiLab/nb-bert-large | 8 | 740 | transformers | 2022-03-02T23:29:04 | ---
language: no
license: cc-by-4.0
tags:
- norwegian
- bert
thumbnail: nblogo_3.png
pipeline_tag: fill-mask
widget:
- text: På biblioteket kan du låne en [MASK].
---
- **Release 1.0beta** (April 29, 2021)
# NB-BERT-large (beta)
## Description
NB-BERT-large is a general BERT-large model built on the large digital... | 972 | [
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0.033416748046875,
-0.05731201171875,
-0.0341796875,
-0.038665771484375,
-0.01129... |
timm/convnextv2_large.fcmae_ft_in1k | 2023-03-31T23:35:08.000Z | [
"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_large.fcmae_ft_in1k | 0 | 740 | timm | 2023-01-05T01:52:15 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
datasets:
- imagenet-1k
- imagenet-1k
---
# Model card for convnextv2_large.fcmae_ft_in1k
A ConvNeXt-V2 image classification model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE) and fine-tuned on ImageNet-1k.
... | 15,796 | [
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-0.00392150... |
LeoLM/leo-mistral-hessianai-7b-chat | 2023-11-02T12:07:32.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"en",
"de",
"dataset:LeoLM/OpenSchnabeltier",
"dataset:OpenAssistant/OASST-DE",
"dataset:FreedomIntelligence/alpaca-gpt4-deutsch",
"dataset:FreedomIntelligence/evol-instruct-deutsch",
"dataset:LeoLM/German_Poems",
"dataset:LeoLM/German_S... | text-generation | LeoLM | null | null | LeoLM/leo-mistral-hessianai-7b-chat | 10 | 740 | transformers | 2023-10-06T14:10:29 | ---
datasets:
- LeoLM/OpenSchnabeltier
- OpenAssistant/OASST-DE
- FreedomIntelligence/alpaca-gpt4-deutsch
- FreedomIntelligence/evol-instruct-deutsch
- LeoLM/German_Poems
- LeoLM/German_Songs
language:
- en
- de
library_name: transformers
pipeline_tag: text-generation
license: apache-2.0
---
# LAION LeoLM: **L**inguist... | 8,139 | [
[
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0.007... |
NchuNLP/Chinese-Question-Answering | 2022-11-01T06:45:04.000Z | [
"transformers",
"pytorch",
"bert",
"question-answering",
"zh",
"dataset:DeltaReadingComprehensionDataset",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | NchuNLP | null | null | NchuNLP/Chinese-Question-Answering | 18 | 739 | transformers | 2022-10-12T05:33:26 | ---
language: zh
datasets:
- DeltaReadingComprehensionDataset
widget:
- text: "中興大學在哪裡?"
context: "國立中興大學（簡稱興大、NCHU），是位於臺中的一所高等教育機構。中興大學以農業科學、農業經濟學、獸醫、生命科學、轉譯醫學、生醫工程、生物科技、綠色科技等研究領域見長 。近年中興大學與臺中榮民總醫院、彰化師範大學、中國醫藥大學等機構合作，聚焦於癌症醫學、免疫醫學及醫學工程三項領域，將實驗室成果逐步應用到臨床上，未來「衛生福利部南投醫院中興院區」將改為「國立中興大學醫學院附設醫院」。興大也與臺中市政府合作，簽訂合作意向書，共同推動數位文... | 3,055 | [
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0.... |
timm/fastvit_s12.apple_dist_in1k | 2023-08-23T21:04:43.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2303.14189",
"license:other",
"region:us"
] | image-classification | timm | null | null | timm/fastvit_s12.apple_dist_in1k | 0 | 738 | timm | 2023-08-23T21:04:37 | ---
tags:
- image-classification
- timm
library_name: timm
license: other
datasets:
- imagenet-1k
---
# Model card for fastvit_s12.apple_dist_in1k
A FastViT image classification model. Trained on ImageNet-1k with distillation by paper authors.
Please observe [original license](https://github.com/apple/ml-fastvit/blob... | 3,703 | [
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Jwizzed/TaskToSubtask | 2023-10-29T03:39:34.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us",
"has_space"
] | text2text-generation | Jwizzed | null | null | Jwizzed/TaskToSubtask | 0 | 738 | transformers | 2023-10-29T03:01:40 | ---
license: mit
---
# TaskToSubtask
## Overview
This repository contains a Hugging Face NLP model designed to break down long task instructions into smaller, actionable subtasks. The output is a single string where each subtask is separated by a comma.
## Installation
To use this model, you'll need to install the ... | 1,853 | [
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0.012107849121... |
knkarthick/meeting-summary-samsum | 2022-07-20T08:28:58.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"seq2seq",
"summarization",
"en",
"dataset:samsum",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | summarization | knkarthick | null | null | knkarthick/meeting-summary-samsum | 6 | 737 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- bart
- seq2seq
- summarization
license: apache-2.0
datasets:
- samsum
widget:
- text: |
Hannah: Hey, do you have Betty's number?
Amanda: Lemme check
Amanda: Sorry, can't find it.
Amanda: Ask Larry
Amanda: He called her last time we were at the park together
Hannah: I do... | 2,049 | [
[
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0.01583... |
timm/convnext_tiny.in12k | 2023-03-31T22:38:54.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-12k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_tiny.in12k | 0 | 737 | timm | 2023-01-11T22:35:12 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-12k
---
# Model card for convnext_tiny.in12k
A ConvNeXt image classification model. Trained in `timm` on ImageNet-12k (a 11821 class subset of full ImageNet-22k) by Ross Wightman.
ImageNet-12k training done on TPUs than... | 15,760 | [
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... |
hf-internal-testing/tiny-controlnet-sdxl | 2023-07-24T14:24:02.000Z | [
"diffusers",
"diffusers:ControlNetModel",
"region:us"
] | null | hf-internal-testing | null | null | hf-internal-testing/tiny-controlnet-sdxl | 0 | 737 | diffusers | 2023-07-24T14:22:09 | This `ControlNetModel` was created using the code below:
```python
from diffusers import ControlNetModel
from huggingface_hub import HfApi, create_repo
controlnet = ControlNetModel(
block_out_channels=(32, 64),
layers_per_block=2,
in_channels=4,
down_block_types=("DownBlock2D", "CrossAttnDownBlock2D")... | 1,102 | [
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... |
microsoft/layoutlmv3-base-chinese | 2022-09-16T03:25:46.000Z | [
"transformers",
"pytorch",
"layoutlmv3",
"zh",
"arxiv:2204.08387",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | null | microsoft | null | null | microsoft/layoutlmv3-base-chinese | 36 | 736 | transformers | 2022-06-16T04:38:00 | ---
language: zh
license: cc-by-nc-sa-4.0
---
# LayoutLMv3
[Microsoft Document AI](https://www.microsoft.com/en-us/research/project/document-ai/) | [GitHub](https://aka.ms/layoutlmv3)
## Model description
LayoutLMv3 is a pre-trained multimodal Transformer for Document AI with unified text and image masking. The sim... | 2,301 | [
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Trelis/Llama-2-7b-chat-hf-sharded-bf16 | 2023-07-31T21:42:59.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"facebook",
"meta",
"llama-2",
"sharded",
"en",
"arxiv:2307.09288",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Trelis | null | null | Trelis/Llama-2-7b-chat-hf-sharded-bf16 | 8 | 736 | transformers | 2023-07-21T12:48:03 | ---
language:
- en
pipeline_tag: text-generation
inference: false
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
- sharded
---
# **llama-2-chat-7b-hf (sharded)**
This is a sharded version of Meta's Llama 2 chat 7b model, specifically the hugging face version.
All details below are copied from the original repo.
... | 10,357 | [
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0.004... |
etri-xainlp/llama2-ko-13b-instruct-v1 | 2023-10-30T03:35:20.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | etri-xainlp | null | null | etri-xainlp/llama2-ko-13b-instruct-v1 | 0 | 736 | transformers | 2023-10-26T00:57:38 | ---
license: apache-2.0
---
# llama2-ko-13b-instruct-v1
This model is a fine-tuned version of [meta-llama/Llama-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) on an instruction-following dataset(670k) | 213 | [
[
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-0.002073287... |
LorenzoDeMattei/GePpeTto | 2023-03-22T15:39:46.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"gpt2",
"text-generation",
"it",
"arxiv:2004.14253",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | LorenzoDeMattei | null | null | LorenzoDeMattei/GePpeTto | 6 | 735 | transformers | 2022-03-02T23:29:04 | ---
language: it
---
# GePpeTto GPT2 Model 🇮🇹
Pretrained GPT2 117M model for Italian.
You can find further details in the paper:
Lorenzo De Mattei, Michele Cafagna, Felice Dell’Orletta, Malvina Nissim, Marco Guerini "GePpeTto Carves Italian into a Language Model", arXiv preprint. Pdf available at: https://arxiv.o... | 4,721 | [
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-0.02734375,
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-0.03021240234375,
-0.04315185546875,
0.0030307... |
codeparrot/codeparrot-small | 2022-07-03T19:54:59.000Z | [
"transformers",
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"code",
"generation",
"dataset:codeparrot/codeparrot-clean",
"dataset:openai_humaneval",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | codeparrot | null | null | codeparrot/codeparrot-small | 23 | 735 | transformers | 2022-03-02T23:29:05 | ---
language:
- code
license: apache-2.0
tags:
- code
- gpt2
- generation
datasets:
- "codeparrot/codeparrot-clean"
- "openai_humaneval"
metrics:
- "evaluate-metric/code_eval"
---
# CodeParrot 🦜 (small)
CodeParrot 🦜 is a GPT-2 model (110M parameters) trained to generate Python code.
## Usage
You can load the C... | 2,194 | [
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-0.04263305664062... |
facebook/mask2former-swin-large-mapillary-vistas-semantic | 2023-09-11T20:45:32.000Z | [
"transformers",
"pytorch",
"safetensors",
"mask2former",
"vision",
"image-segmentation",
"dataset:coco",
"arxiv:2112.01527",
"arxiv:2107.06278",
"license:other",
"endpoints_compatible",
"region:us"
] | image-segmentation | facebook | null | null | facebook/mask2former-swin-large-mapillary-vistas-semantic | 0 | 734 | transformers | 2023-01-05T00:46:58 | ---
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 Mapillary Vistas sema... | 3,209 | [
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-0.0643310546875,
-0.0276794... |
prompthero/openjourney-lora | 2023-02-09T16:01:27.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | prompthero | null | null | prompthero/openjourney-lora | 148 | 734 | diffusers | 2023-02-08T15:40:40 | ---
license: creativeml-openrail-m
base_model: stabilityai/stable-diffusion-2-1-base
instance_prompt: sksdog
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
# Openjourney LoRA - by [PromptHero](https://prompthero.com/?utm_source=huggingface&utm_medium=referral)
The... | 2,271 | [
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timm/swinv2_base_window16_256.ms_in1k | 2023-03-18T03:32:21.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2111.09883",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/swinv2_base_window16_256.ms_in1k | 0 | 734 | timm | 2023-03-18T03:31:54 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for swinv2_base_window16_256.ms_in1k
A Swin Transformer V2 image classification model. Pretrained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone... | 4,405 | [
[
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timm/seresnextaa101d_32x8d.sw_in12k_ft_in1k | 2023-04-05T20:37:17.000Z | [
"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/seresnextaa101d_32x8d.sw_in12k_ft_in1k | 1 | 734 | timm | 2023-04-05T19:42:33 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for seresnextaa101d_32x8d.sw_in12k_ft_in1k
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 of 3x3... | 39,838 | [
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Uminosachi/deliberate_v3-inpainting | 2023-09-11T21:28:04.000Z | [
"diffusers",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | Uminosachi | null | null | Uminosachi/deliberate_v3-inpainting | 0 | 734 | diffusers | 2023-09-11T21:18:20 | ---
license: creativeml-openrail-m
---
This is an inpainting model, which has been converted from the [deliberate_v3-inpainting](https://civitai.com/models/4823?modelVersionId=156106). | 184 | [
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it5/it5-large-question-answering | 2022-03-09T07:57:53.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"tensorboard",
"t5",
"text2text-generation",
"italian",
"sequence-to-sequence",
"squad_it",
"text2text-question-answering",
"it",
"dataset:squad_it",
"arxiv:2203.03759",
"license:apache-2.0",
"model-index",
"co2_eq_emissions",
"autotrain_comp... | text2text-generation | it5 | null | null | it5/it5-large-question-answering | 3 | 733 | transformers | 2022-03-02T23:29:05 | ---
language:
- it
license: apache-2.0
datasets:
- squad_it
tags:
- italian
- sequence-to-sequence
- squad_it
- text2text-question-answering
- text2text-generation
widget:
- text: "In seguito all' evento di estinzione del Cretaceo-Paleogene, l' estinzione dei dinosauri e il clima umido possono aver permesso alla forest... | 7,108 | [
[
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0.0105133056640625,
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-0.04473876953125,
-0.042083740234375,
-0.03125,
0.02027893... |
sentence-transformers/bert-large-nli-max-tokens | 2022-06-15T23:14:28.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/bert-large-nli-max-tokens | 0 | 733 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
license: apache-2.0
---
**⚠️ This model is deprecated. Please don't use it as it produces sentence embeddings of low quality. You can find recommended sentence embedding models here: [SBERT.net... | 3,974 | [
[
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-0.05841064453125,
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-0.0271148681640625,
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0.01319122314453125,
0.02978515625,
-0.0394287109375,
-0.0311279296875,
-0.05389404296875,
0.007595... |
stanfordnlp/stanza-es | 2023-10-02T23:34:31.000Z | [
"stanza",
"token-classification",
"es",
"license:apache-2.0",
"region:us"
] | token-classification | stanfordnlp | null | null | stanfordnlp/stanza-es | 0 | 732 | stanza | 2022-03-02T23:29:05 | ---
tags:
- stanza
- token-classification
library_name: stanza
language: es
license: apache-2.0
---
# Stanza model for Spanish (es)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brin... | 680 | [
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facebook/wav2vec2-conformer-rope-large | 2022-06-15T08:12:09.000Z | [
"transformers",
"pytorch",
"wav2vec2-conformer",
"pretraining",
"speech",
"en",
"dataset:librispeech_asr",
"arxiv:2010.05171",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | facebook | null | null | facebook/wav2vec2-conformer-rope-large | 2 | 732 | transformers | 2022-04-18T09:26:53 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
license: apache-2.0
---
# Wav2Vec2-Conformer-Large with Rotary Position Embeddings
Wav2Vec2 Conformer with rotary position embeddings, pretrained on 960 hours of Librispeech on 16kHz sampled speech audio. When using the model make sure that your speech input... | 1,325 | [
[
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-0.0323486328125,
-0.05902099609375,
-... |
laion/CLIP-convnext_xxlarge-laion2B-s34B-b82K-augreg-rewind | 2023-04-18T17:44:40.000Z | [
"open_clip",
"zero-shot-image-classification",
"clip",
"arxiv:2210.08402",
"arxiv:1910.04867",
"license:mit",
"has_space",
"region:us"
] | zero-shot-image-classification | laion | null | null | laion/CLIP-convnext_xxlarge-laion2B-s34B-b82K-augreg-rewind | 2 | 732 | open_clip | 2023-02-26T20:31:10 | ---
tags:
- zero-shot-image-classification
- clip
library_tag: open_clip
license: mit
library_name: open_clip
pipeline_tag: zero-shot-image-classification
---
# Model card for CLIP-convnext_xxlarge-laion2B-s34B-b82K-augreg-rewind
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. [Training De... | 17,902 | [
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timm/swin_large_patch4_window7_224.ms_in22k | 2023-03-18T04:09:03.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-22k",
"arxiv:2103.14030",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/swin_large_patch4_window7_224.ms_in22k | 0 | 732 | timm | 2023-03-18T04:07:06 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-22k
---
# Model card for swin_large_patch4_window7_224.ms_in22k
A Swin Transformer image classification model. Pretrained on ImageNet-22k by paper authors.
## Model Details
- **Model Type:** Image classification / feature bac... | 4,417 | [
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carmendftwo/my-face | 2023-04-28T15:58:49.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | carmendftwo | null | null | carmendftwo/my-face | 0 | 732 | diffusers | 2023-04-28T15:29:09 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### my-face Dreambooth model trained by carmendftwo 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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-0.02349853515625,
-0.0311431884765625,
-0.0130081176757... |
timm/vit_relpos_medium_patch16_rpn_224.sw_in1k | 2023-05-05T22:04:27.000Z | [
"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_rpn_224.sw_in1k | 0 | 731 | timm | 2022-12-23T00:21:34 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for vit_relpos_medium_patch16_rpn_224.sw_in1k
A Vision Transformer (ViT) image classification model. This is a `timm` specific variation of the ViT architecture with relative position embeddings and ... | 4,225 | [
[
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0.0285797119140625,
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-0.03900146484375,
-0.051788330078125,
-0.005157... |
timm/beit_base_patch16_224.in22k_ft_in22k | 2023-05-08T23:18:27.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-22k",
"arxiv:2106.08254",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/beit_base_patch16_224.in22k_ft_in22k | 0 | 731 | timm | 2022-12-23T02:24:40 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-22k
- imagenet-22k
---
# Model card for beit_base_patch16_224.in22k_ft_in22k
A BEiT image classification model. Trained on ImageNet-22k with self-supervised masked image modelling (MIM) using a DALL-E dVAE as visual tok... | 3,701 | [
[
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-0.04803466796875,
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-0... |
TheBloke/sqlcoder-GPTQ | 2023-09-27T12:54:44.000Z | [
"transformers",
"safetensors",
"gpt_bigcode",
"text-generation",
"code",
"en",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/sqlcoder-GPTQ | 8 | 731 | transformers | 2023-09-27T09:14:01 | ---
language:
- en
license: other
library_name: transformers
tags:
- code
metrics:
- code_eval
model_name: Sqlcoder
base_model: defog/sqlcoder
inference: false
model_creator: Defog.ai
model_type: starcoder
pipeline_tag: text-generation
prompt_template: '{prompt}
'
quantized_by: TheBloke
---
<!-- header start -->
<!... | 20,278 | [
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sentence-transformers/bert-base-wikipedia-sections-mean-tokens | 2022-06-15T22:24:35.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/bert-base-wikipedia-sections-mean-tokens | 0 | 730 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
license: apache-2.0
---
**⚠️ This model is deprecated. Please don't use it as it produces sentence embeddings of low quality. You can find recommended sentence embedding models here: [SBERT.net... | 4,024 | [
[
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0.018402099609375,
0.026153564453125,
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-0.0299530029296875,
-0.054107666015625,
... |
timm/vit_relpos_medium_patch16_cls_224.sw_in1k | 2023-05-05T22:04:24.000Z | [
"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_cls_224.sw_in1k | 0 | 730 | timm | 2022-12-23T00:21:19 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for vit_relpos_medium_patch16_cls_224.sw_in1k
A Vision Transformer (ViT) image classification model. This is a `timm` specific variation of the ViT architecture with relative position embeddings, cla... | 4,165 | [
[
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0.0216217041015625,
0.0284271240234375,
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-0.039306640625,
-0.051849365234375,
-0.004... |
timm/hrnet_w32.ms_in1k | 2023-04-24T21:28:55.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1908.07919",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/hrnet_w32.ms_in1k | 0 | 730 | timm | 2023-04-24T21:28:17 | ---
tags:
- image-classification
- timm
library_name: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for hrnet_w32.ms_in1k
A HRNet image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- Params (... | 3,755 | [
[
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PORTULAN/albertina-900m-portuguese-ptpt-encoder | 2023-10-23T10:16:27.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta-v2",
"fill-mask",
"albertina-pt*",
"albertina-ptpt",
"albertina-ptbr",
"bert",
"deberta",
"portuguese",
"encoder",
"foundation model",
"pt",
"dataset:europarl_bilingual",
"dataset:assin2",
"dataset:dlb/plue",
"dataset:oscar-corpus/... | fill-mask | PORTULAN | null | null | PORTULAN/albertina-900m-portuguese-ptpt-encoder | 20 | 730 | transformers | 2023-05-08T14:38:39 | ---
language:
- pt
tags:
- albertina-pt*
- albertina-ptpt
- albertina-ptbr
- fill-mask
- bert
- deberta
- portuguese
- encoder
- foundation model
license: mit
datasets:
- europarl_bilingual
- assin2
- dlb/plue
- oscar-corpus/OSCAR-2301
- PORTULAN/glue-ptpt
- PORTULAN/parlamento-pt
widget:
- text: >-
A culinária por... | 13,647 | [
[
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0.0169677734375,
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0.0231475830078125,
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0.0... |
digiplay/MeinaMix_v11 | 2023-11-04T14:53:49.000Z | [
"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/MeinaMix_v11 | 5 | 730 | diffusers | 2023-07-17T23:14:20 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/7240?modelVersionId=119057
Sample images generated by huggingface's API :
![dedf955d-2807-4843-bd78-942d4254b37a.jpeg](https://cdn-uploads.huggingface.co/pr... | 675 | [
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-0.035614013671875,
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0.0330810546875,
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0.032470703125,
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-0.03289794921875,
-0.03167724609375,
0.01058959960... |
CiroN2022/toy-face | 2023-08-23T11:51:14.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:other",
"has_space",
"region:us"
] | text-to-image | CiroN2022 | null | null | CiroN2022/toy-face | 1 | 730 | diffusers | 2023-08-23T11:51:11 | ---
license: other
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: toy_face
widget:
- text: toy_face
---
# Toy Face
None
## Image examples for the model:
![Image 2](2123367... | 502 | [
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... |
ehartford/dolphin-2.2-mistral-7b | 2023-11-05T03:21:02.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"en",
"dataset:ehartford/dolphin",
"dataset:jondurbin/airoboros-2.2.1",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | ehartford | null | null | ehartford/dolphin-2.2-mistral-7b | 32 | 730 | transformers | 2023-10-29T15:50:57 | ---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
datasets:
- ehartford/dolphin
- jondurbin/airoboros-2.2.1
language:
- en
---
# dolphin-2.2-mistral-7b
This model was overfit and has been re-released as [dolphin-2.2.1-mistral-7b](https://huggingface.co/ehartford/dolphin-2.2.1-mistral-7b). Please use that... | 336 | [
[
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0.00583267... |
german-nlp-group/electra-base-german-uncased | 2021-05-24T13:26:08.000Z | [
"transformers",
"pytorch",
"electra",
"pretraining",
"commoncrawl",
"uncased",
"umlaute",
"umlauts",
"german",
"deutsch",
"de",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | german-nlp-group | null | null | german-nlp-group/electra-base-german-uncased | 5 | 729 | transformers | 2022-03-02T23:29:05 | ---
language: de
license: mit
thumbnail: "https://raw.githubusercontent.com/German-NLP-Group/german-transformer-training/master/model_cards/german-electra-logo.png"
tags:
- electra
- commoncrawl
- uncased
- umlaute
- umlauts
- german
- deutsch
---
# German Electra Uncased
<img width="300px" src="https:/... | 8,275 | [
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... |
twmkn9/distilbert-base-uncased-squad2 | 2020-12-11T22:03:01.000Z | [
"transformers",
"pytorch",
"distilbert",
"question-answering",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | twmkn9 | null | null | twmkn9/distilbert-base-uncased-squad2 | 3 | 729 | transformers | 2022-03-02T23:29:05 | This model is [Distilbert base uncased](https://huggingface.co/distilbert-base-uncased) trained on SQuAD v2 as:
```
export SQUAD_DIR=../../squad2
python3 run_squad.py
--model_type distilbert
--model_name_or_path distilbert-base-uncased
--do_train
--do_eval
--overwrite_cache
--do_lower_case... | 1,224 | [
[
-0.012359619140625,
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-0.060577392578125,
-0.02154541015625,
-0.044281005859375... |
timm/vit_relpos_base_patch32_plus_rpn_256.sw_in1k | 2023-05-05T22:04:19.000Z | [
"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_base_patch32_plus_rpn_256.sw_in1k | 0 | 729 | timm | 2022-12-23T00:20:21 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for vit_relpos_base_patch32_plus_rpn_256.sw_in1k
A Vision Transformer (ViT) image classification model. This is a `timm` specific variation of the ViT architecture with relative position embeddings a... | 4,233 | [
[
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0.020355224609375,
0.0283203125,
-0.0433349609375,
-0.038787841796875,
-0.05224609375,
-0.006011... |
AUTOMATIC/promptgen-majinai-safe | 2023-01-18T21:13:41.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"en",
"license:mit",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | AUTOMATIC | null | null | AUTOMATIC/promptgen-majinai-safe | 14 | 729 | transformers | 2023-01-18T21:04:42 | ---
license: mit
language:
- en
library_name: transformers
pipeline_tag: text-generation
---
Finetuned `distilgpt2` for 40 epochs on 1654 prompts scraped from majinai.art. Weights/emphasis stripped. Includes negative prompts.
Intended for use with https://github.com/AUTOMATIC1111/stable-diffusion-webui-promptgen
| 316 | [
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0... |
christian-phu/bert-finetuned-japanese-sentiment | 2023-04-07T17:27:53.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"ja",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"region:us"
] | text-classification | christian-phu | null | null | christian-phu/bert-finetuned-japanese-sentiment | 6 | 729 | transformers | 2023-04-06T16:43:51 | ---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
model-index:
- name: bert-finetuned-japanese-sentiment
results: []
language:
- ja
pipeline_tag: text-classification
metrics:
- accuracy
---
# bert-finetuned-japanese-sentiment
This model is a fine-tuned version of [cl-tohoku/bert-base-japanese-v2](https://h... | 1,599 | [
[
-0.057037353515625,
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0.00... |
facebook/detr-resnet-50-dc5 | 2023-09-07T15:35:22.000Z | [
"transformers",
"pytorch",
"safetensors",
"detr",
"object-detection",
"vision",
"dataset:coco",
"arxiv:2005.12872",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | object-detection | facebook | null | null | facebook/detr-resnet-50-dc5 | 4 | 728 | 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... | 4,813 | [
[
-0.06048583984375,
-0.048004150390625,
-0.0027141571044921875,
-0.0035305023193359375,
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-0.0098114013671875,
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0.0040740966796875,
0.0285186767578125,
-0.050872802734375,
-0.034271240234375,
-0.0401611328... |
timm/tf_efficientnet_b6.ap_in1k | 2023-04-27T21:22:52.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:1911.09665",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_b6.ap_in1k | 0 | 728 | timm | 2022-12-13T00:05:05 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b6.ap_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with AdvProp (adversarial examples) in Tensorflow by paper authors, ported to PyTorch by Ross Wightman... | 4,548 | [
[
-0.0294647216796875,
-0.04168701171875,
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-0.0220947265625,
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0.0236968994140625,
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-0.04791259765625,
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-0.... |
brjezierski/sentence-embeddings-similarity | 2023-07-24T15:28:56.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | sentence-similarity | brjezierski | null | null | brjezierski/sentence-embeddings-similarity | 0 | 727 | sentence-transformers | 2023-07-24T14:57:42 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic... | 2,774 | [
[
-0.0272979736328125,
-0.05401611328125,
0.022705078125,
0.0189056396484375,
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-0.0163726806640625,
0.006103515625,
0.0155029296875,
0.026458740234375,
-0.05487060546875,
-0.05291748046875,
-0.042633056640625,
-0.00382804... |
FinanceInc/finbert_fls | 2022-07-22T17:41:31.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"financial-text-analysis",
"forward-looking-statement",
"en",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | FinanceInc | null | null | FinanceInc/finbert_fls | 9 | 726 | transformers | 2022-07-22T17:40:26 | ---
language: "en"
tags:
- financial-text-analysis
- forward-looking-statement
widget:
- text: "We expect the age of our fleet to enhance availability and reliability due to reduced downtime for repairs. "
---
Forward-looking statements (FLS) inform investors of managers’ beliefs and opinions about firm's future event... | 1,472 | [
[
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-0.031951904296875,
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-0.00736236572265625,
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0.01308441162109375,
0.044403076171875,
-0.05877685546875,
-0.032196044921875,
-0.032684326171875,
... |
timm/coatnet_rmlp_2_rw_224.sw_in12k | 2023-05-10T23:49:11.000Z | [
"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_2_rw_224.sw_in12k | 0 | 726 | timm | 2023-01-20T21:28:06 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-12k
---
# Model card for coatnet_rmlp_2_rw_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 ... | 22,274 | [
[
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-0.031829833984375,
0.0018815994262695312,
0.0308837890625,
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0.0545654296875,
0.0152130126953125,
-0.041259765625,
-0.045257568359375,
-0.04888916015625,
-0.0062... |
203427as321/hnai_model | 2023-06-20T18:16:26.000Z | [
"transformers",
"pytorch",
"tensorboard",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | 203427as321 | null | null | 203427as321/hnai_model | 0 | 726 | transformers | 2023-06-15T15:40:51 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: hnai_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# hnai_model
This model is a fin... | 1,105 | [
[
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-0.050750732421875,
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0.01009368896484375,
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0.... |
mrm8488/t5-base-finetuned-imdb-sentiment | 2023-03-19T08:50:42.000Z | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"en",
"dataset:imdb",
"arxiv:1910.10683",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | mrm8488 | null | null | mrm8488/t5-base-finetuned-imdb-sentiment | 4 | 725 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- imdb
---
# T5-base fine-tuned for Sentiment Anlalysis 🎞️👍👎
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) base fine-tuned on [IMDB](https://huggingface.co/datasets/imdb) dataset for **Sentiment Analysis** downstream task.
## Details of T5
T... | 3,710 | [
[
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kontur-ai/sbert_punc_case_ru | 2022-09-06T08:31:34.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"PyTorch",
"Transformers",
"ru",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | kontur-ai | null | null | kontur-ai/sbert_punc_case_ru | 16 | 725 | transformers | 2022-07-21T10:02:03 | ---
language:
- ru
tags:
- PyTorch
- Transformers
license: apache-2.0
widget:
- text: "sbert punc case расставляет точки запятые и знаки вопроса вам нравится"
---
# SbertPuncCase
SbertPuncCase - модель восстановления пунктуации и регистра для русского языка. Модель способна расставлять точки, запятые и знаки вопроса;... | 1,608 | [
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0.048736572265625,
0.0159759521484375,
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-0.04107666015625,
-0.0305938720703125,
0.0... |
timm/vit_relpos_base_patch16_clsgap_224.sw_in1k | 2023-05-05T22:04:17.000Z | [
"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_base_patch16_clsgap_224.sw_in1k | 0 | 725 | timm | 2022-12-23T00:19:56 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for vit_relpos_base_patch16_clsgap_224.sw_in1k
A Vision Transformer (ViT) image classification model. This is a `timm` specific variation of the ViT architecture with relative position embeddings, cl... | 4,187 | [
[
-0.03515625,
-0.0266571044921875,
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0.0110931396484375,
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0.0200958251953125,
0.02874755859375,
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-0.039947509765625,
-0.052734375,
-0.005783... |
narendrag11/model | 2023-09-04T18:48:01.000Z | [
"diffusers",
"text-to-image",
"autotrain",
"region:us"
] | text-to-image | narendrag11 | null | null | narendrag11/model | 1 | 725 | diffusers | 2023-09-04T18:42:45 |
---
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: photo of narendra for linkedIn professional profile picture
tags:
- text-to-image
- diffusers
- autotrain
inference: true
---
# DreamBooth trained by AutoTrain
Text encoder was not trained.
| 272 | [
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microsoft/DialogRPT-width | 2021-05-23T09:20:20.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-classification",
"arxiv:2009.06978",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-classification | microsoft | null | null | microsoft/DialogRPT-width | 1 | 724 | 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 | `width` score |
| :------ | :------- | :------------: |
| I love NLP! | Can anyone recommend a nice review paper? | 0.701 |
| I love NLP! | ... | 2,607 | [
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timm/convnext_nano.d1h_in1k | 2023-03-31T22:32:00.000Z | [
"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.d1h_in1k | 0 | 724 | timm | 2022-12-13T07:12:00 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convnext_nano.d1h_in1k
A ConvNeXt image classification model. Trained in `timm` on ImageNet-1k by Ross Wightman.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Mo... | 15,632 | [
[
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0.065185546875,
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-0.... |
MohamedRashad/diffusion_fashion | 2023-06-15T13:42:47.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"fashion",
"diffusion",
"openjourney",
"en",
"license:openrail",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | MohamedRashad | null | null | MohamedRashad/diffusion_fashion | 43 | 724 | diffusers | 2022-12-27T18:16:03 | ---
language: en
tags:
- stable-diffusion
- diffusers
- text-to-image
- fashion
- diffusion
- openjourney
inference: true
license: openrail
library_name: diffusers
---
# Stable Diffusion fine-tuned for [Fashion Product Images Dataset](https://www.kaggle.com/datasets/paramaggarwal/fashion-product-images-dataset)
This... | 1,046 | [
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0.034576416015625,
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-0.0347900390625,
-0.024... |
timm/regnety_040.ra3_in1k | 2023-03-21T06:39:01.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2003.13678",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/regnety_040.ra3_in1k | 0 | 724 | timm | 2023-03-21T06:38:50 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for regnety_040.ra3_in1k
A RegNetY-4GF image classification model. Trained on ImageNet-1k by Ross Wightman in `timm`.
The `timm` RegNet implementation includes a number of enhancements not present in... | 15,536 | [
[
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0.07501220703125,
0.005817413330078125,
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0.0... |
timm/wide_resnet101_2.tv_in1k | 2023-04-05T20:45:46.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:1605.07146",
"arxiv:1512.03385",
"license:bsd-3-clause",
"region:us"
] | image-classification | timm | null | null | timm/wide_resnet101_2.tv_in1k | 0 | 724 | timm | 2023-04-05T20:43:58 | ---
tags:
- image-classification
- timm
library_tag: timm
license: bsd-3-clause
---
# Model card for wide_resnet101_2.tv_in1k
A Wide-ResNet-B image classification model.
This model features:
* ReLU activations
* single layer 7x7 convolution with pooling
* 1x1 convolution shortcut downsample
Trained on ImageNet-1k... | 38,510 | [
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-0.0... |
joachimsallstrom/aether-glitch-lora-for-sdxl | 2023-09-28T15:35:34.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"style",
"vhs glitch",
"license:other",
"has_space",
"region:us"
] | text-to-image | joachimsallstrom | null | null | joachimsallstrom/aether-glitch-lora-for-sdxl | 4 | 724 | diffusers | 2023-09-28T15:35:20 | ---
license: other
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- style
- vhs glitch
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: vhs glitch
widget:
- text: " vhs glitch a skeleton news reporter wearing a black wig and suit, they live 1988, movie still cinematic"
- text: " vhs g... | 4,259 | [
[
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0.0494384765625,
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-0.03216552734375,
-0.039581298828125,
-0.017303466796... |
shi-labs/oneformer_cityscapes_swin_large | 2023-01-20T08:28:09.000Z | [
"transformers",
"pytorch",
"oneformer",
"vision",
"image-segmentation",
"dataset:huggan/cityscapes",
"arxiv:2211.06220",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | image-segmentation | shi-labs | null | null | shi-labs/oneformer_cityscapes_swin_large | 1 | 723 | transformers | 2022-11-15T20:24:27 | ---
license: mit
tags:
- vision
- image-segmentation
datasets:
- huggan/cityscapes
widget:
- src: https://huggingface.co/datasets/shi-labs/oneformer_demo/blob/main/cityscapes.png
example_title: Cityscapes
---
# OneFormer
OneFormer model trained on the Cityscapes dataset (large-sized version, Swin backbone). It was ... | 3,555 | [
[
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-0.0474853515625,
-0.042724609375,
-0.016448... |
AIARTCHAN/xtracolor.v11 | 2023-02-28T07:28:58.000Z | [
"diffusers",
"stable-diffusion",
"aiartchan",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | AIARTCHAN | null | null | AIARTCHAN/xtracolor.v11 | 9 | 723 | diffusers | 2023-02-28T07:03:21 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- aiartchan
---
# xtracolor.v11
[원본글](https://arca.live/b/aiart/70564359)
[civitai](https://civitai.com/models/12622/xtracolorv11)
# Download
- [original 7.7GB](https://civitai.com/api/download/models/14... | 1,230 | [
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0.0... |
lokas/spam-usernames-classifier | 2023-04-01T17:21:23.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"multilingual",
"af",
"sq",
"ar",
"an",
"hy",
"ast",
"az",
"ba",
"eu",
"bar",
"be",
"bn",
"inc",
"bs",
"br",
"bg",
"my",
"ca",
"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en... | text-classification | lokas | null | null | lokas/spam-usernames-classifier | 3 | 723 | transformers | 2023-03-23T13:40:31 | ---
language:
- multilingual
- af
- sq
- ar
- an
- hy
- ast
- az
- ba
- eu
- bar
- be
- bn
- inc
- bs
- br
- bg
- my
- ca
- ceb
- ce
- zh
- cv
- hr
- cs
- da
- nl
- en
- et
- fi
- fr
- gl
- ka
- de
- el
- gu
- ht
- he
- hi
- hu
- is
- io
- id
- ga
- it
- ja
- jv
- kn
- kk
- ky
- ko
- la
- lv
- lt
- roa
- nds
- lm
- mk
... | 5,800 | [
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0.0496826171875,
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-0.05059814453125,
-0.044342041015625,
-0.0077362... |
Jade1211/textual_inversion_simpledog11 | 2023-08-11T18:07:58.000Z | [
"diffusers",
"tensorboard",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"textual_inversion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Jade1211 | null | null | Jade1211/textual_inversion_simpledog11 | 0 | 722 | diffusers | 2023-08-11T16:35:34 |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- textual_inversion
inference: true
---
# Textual inversion text2image fine-tuning - Jade1211/textual_inversion_simpledog11
These are textual inversion ad... | 425 | [
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0.052886962890625,
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... |
akmalinn/monument-surabaya | 2023-10-15T04:59:59.000Z | [
"diffusers",
"text-to-image",
"arxiv:1910.09700",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | akmalinn | null | null | akmalinn/monument-surabaya | 1 | 722 | diffusers | 2023-10-15T03:53:33 | ---
license: creativeml-openrail-m
pipeline_tag: text-to-image
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/sr... | 5,287 | [
[
-0.047607421875,
-0.04461669921875,
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0.008392333984375,
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0.01849365234375,
0.05035400390625,
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-0.00735473... |
Graphcore/gpt2-small-ipu | 2023-07-07T11:06:14.000Z | [
"optimum_graphcore",
"license:apache-2.0",
"region:us"
] | null | Graphcore | null | null | Graphcore/gpt2-small-ipu | 1 | 720 | null | 2022-03-02T23:29:04 | ---
license: apache-2.0
---
# Graphcore/gpt2-small-ipu
Optimum Graphcore is a new open-source library and toolkit that enables developers to access IPU-optimized models certified by Hugging Face. It is an extension of Transformers, providing a set of performance optimization tools enabling maximum efficiency to train... | 1,840 | [
[
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0.0176849365234375,
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0.01294708251953125,
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0.023773193359375,
-0.031158447265625,
-0.0183563232421875,
-0.050506591... |
abeja/gpt2-large-japanese | 2022-08-29T07:10:11.000Z | [
"transformers",
"pytorch",
"tf",
"gpt2",
"text-generation",
"ja",
"japanese",
"lm",
"nlp",
"dataset:cc100",
"dataset:wikipedia",
"dataset:oscar",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | abeja | null | null | abeja/gpt2-large-japanese | 14 | 720 | transformers | 2022-08-29T05:17:36 | ---
language: ja
tags:
- ja
- japanese
- gpt2
- text-generation
- lm
- nlp
license: mit
datasets:
- cc100
- wikipedia
- oscar
widget:
- text: "人とAIが協調するためには、"
---
# gpt2-large-japanese
This repository provides a large sized Japanese GPT-2 model. The model was trained by [ABEJA, Inc](https://abejainc.com/)
# How to u... | 2,823 | [
[
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... |
timm/convnextv2_pico.fcmae | 2023-03-31T23:39:57.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2301.00808",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/convnextv2_pico.fcmae | 0 | 720 | timm | 2023-01-05T01:56:00 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
---
# Model card for convnextv2_pico.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... | 15,740 | [
[
-0.06939697265625,
-0.0306243896484375,
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0.037811279296875,
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0.06500244140625,
0.01751708984375,
-0.0445556640625,
-0.0390625,
-0.052337646484375,
-0.003812789... |
facebook/mms-tts-rus | 2023-09-01T13:12:37.000Z | [
"transformers",
"pytorch",
"safetensors",
"vits",
"text-to-audio",
"mms",
"text-to-speech",
"arxiv:2305.13516",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-to-speech | facebook | null | null | facebook/mms-tts-rus | 0 | 720 | transformers | 2023-09-01T13:12:20 |
---
license: cc-by-nc-4.0
tags:
- mms
- vits
pipeline_tag: text-to-speech
---
# Massively Multilingual Speech (MMS): Russian Text-to-Speech
This repository contains the **Russian (rus)** language text-to-speech (TTS) model checkpoint.
This model is part of Facebook's [Massively Multilingual Speech](https://arxiv.or... | 3,972 | [
[
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0.014404296875,
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0.0235748291015625,
0.0117645263671875,
-0.0584716796875,
-0.0382080078125,
-0.040802001953125,
-0.0... |
TheBloke/sqlcoder2-GPTQ | 2023-10-10T17:23:26.000Z | [
"transformers",
"safetensors",
"gpt_bigcode",
"text-generation",
"code",
"en",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/sqlcoder2-GPTQ | 6 | 720 | transformers | 2023-10-10T13:11:27 | ---
base_model: defog/sqlcoder2
inference: false
language:
- en
license: other
model_creator: Defog.ai
model_name: Sqlcoder2
model_type: starcoder
pipeline_tag: text-generation
prompt_template: "## Task\nGenerate a SQL query to answer the following question:\n\
`{prompt}`\n\n### Database Schema\nThis query will run o... | 26,062 | [
[
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-0.0667724609375,
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0.0010814666748046875,
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0.005016326904296875,
0.03607177734375,
-0.0364990234375,
-0.0423583984375,
-0.026962280273437... |
bellagio-ai/t2i-vietnam-pictures-2k | 2023-10-19T13:38:43.000Z | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | bellagio-ai | null | null | bellagio-ai/t2i-vietnam-pictures-2k | 0 | 719 | diffusers | 2023-10-19T12:07:23 |
---
license: creativeml-openrail-m
base_model: stabilityai/stable-diffusion-xl-base-1.0
dataset: bellagio-ai/t2i-vietnam-pictures
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
inference: true
---
# Text-to-image finetuning - bellagio-ai/t2i-vietnam-pictures-2k
This pipel... | 609 | [
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-0.00929260... |
timm/tf_efficientnet_b7.ap_in1k | 2023-04-27T21:24:51.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:1911.09665",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_b7.ap_in1k | 0 | 718 | timm | 2022-12-13T00:05:43 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b7.ap_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with AdvProp (adversarial examples) in Tensorflow by paper authors, ported to PyTorch by Ross Wightman... | 4,548 | [
[
-0.0297393798828125,
-0.041534423828125,
-0.007678985595703125,
0.004974365234375,
-0.019134521484375,
-0.034027099609375,
-0.0224761962890625,
-0.031463623046875,
0.0108795166015625,
0.0238800048828125,
-0.0242156982421875,
-0.047943115234375,
-0.05850219726562... |
timm/vit_base_patch16_384.augreg_in1k | 2023-05-06T00:01:10.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2106.10270",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_base_patch16_384.augreg_in1k | 0 | 718 | timm | 2022-12-22T07:29:16 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for vit_base_patch16_384.augreg_in1k
A Vision Transformer (ViT) image classification model. Trained on ImageNet-1k (with additional augmentation and regularization) in JAX by paper authors, ported to... | 3,796 | [
[
-0.038543701171875,
-0.030609130859375,
-0.00408935546875,
0.006465911865234375,
-0.0296630859375,
-0.027557373046875,
-0.0201873779296875,
-0.0340576171875,
0.01464080810546875,
0.0251312255859375,
-0.04119873046875,
-0.0384521484375,
-0.0474853515625,
0.00... |
timm/vit_base_patch32_384.augreg_in1k | 2023-05-06T00:03:38.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2106.10270",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_base_patch32_384.augreg_in1k | 0 | 718 | timm | 2022-12-22T07:34:48 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for vit_base_patch32_384.augreg_in1k
A Vision Transformer (ViT) image classification model. Trained on ImageNet-1k (with additional augmentation and regularization) in JAX by paper authors, ported to... | 3,796 | [
[
-0.03857421875,
-0.0301361083984375,
-0.004100799560546875,
0.00608062744140625,
-0.0297088623046875,
-0.0276641845703125,
-0.01995849609375,
-0.03363037109375,
0.0142364501953125,
0.0250091552734375,
-0.0411376953125,
-0.038238525390625,
-0.04779052734375,
... |
Hemlok/RainMix | 2023-03-06T19:18:39.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"art",
"ja",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Hemlok | null | null | Hemlok/RainMix | 11 | 718 | diffusers | 2023-02-27T20:00:13 | ---
license: creativeml-openrail-m
language:
- ja
tags:
- stable-diffusion
- text-to-image
- art
library_name: diffusers
---
# ◆RainMix
- "ACertainThing"ベースのマージモデルです。
- "RainierMix"のレシピやモデルを一部変更して作成したモデルです。
----
# ◆Discord
[Join Discord Server](https://discord.gg/eN6aSWRddT)
- Hemlokの... | 2,417 | [
[
-0.0445556640625,
-0.060028076171875,
0.0229644775390625,
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-0.0443115234375,
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0.005107879638671875,
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0.028472900390625,
0.0275726318359375,
-0.055145263671875,
-0.056121826171875,
-0.044952392578125,
0... |
dahara1/weblab-10b-instruction-sft-GPTQ | 2023-10-26T13:58:39.000Z | [
"transformers",
"safetensors",
"gpt_neox",
"text-generation",
"ja",
"license:cc-by-nc-4.0",
"text-generation-inference",
"region:us"
] | text-generation | dahara1 | null | null | dahara1/weblab-10b-instruction-sft-GPTQ | 13 | 718 | transformers | 2023-08-21T05:45:35 | ---
license: cc-by-nc-4.0
inference: false
language:
- ja
---
# weblab-10b-instruction-sft-GPTQ
Original model [weblab-10b-instruction-sft](https://huggingface.co/matsuo-lab/weblab-10b-instruction-sft) which is a Japanese-centric multilingual GPT-NeoX model of 10 billion parameters created by matsuo-lab
Takeshi Ko... | 5,486 | [
[
-0.03955078125,
-0.07666015625,
0.0261383056640625,
0.00762176513671875,
-0.0188446044921875,
-0.00942230224609375,
0.0003674030303955078,
-0.0225372314453125,
-0.0174407958984375,
0.020233154296875,
-0.03900146484375,
-0.0357666015625,
-0.028472900390625,
-... |
ckpt/SSD-1B | 2023-10-21T22:40:40.000Z | [
"diffusers",
"text-to-image",
"ultra-realistic",
"stable-diffusion",
"distilled-model",
"knowledge-distillation",
"dataset:zzliang/GRIT",
"dataset:wanng/midjourney-v5-202304-clean",
"license:apache-2.0",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | ckpt | null | null | ckpt/SSD-1B | 1 | 718 | diffusers | 2023-10-21T22:12:33 | ---
license: apache-2.0
tags:
- text-to-image
- ultra-realistic
- text-to-image
- stable-diffusion
- distilled-model
- knowledge-distillation
pinned: true
datasets:
- zzliang/GRIT
- wanng/midjourney-v5-202304-clean
library_name: diffusers
---
# Segmind Stable Diffusion 1B (SSD-1B) Model Card
![image/png](https://cdn-... | 6,602 | [
[
-0.039459228515625,
-0.08221435546875,
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-0.044464111328125,
-0.034820556640625,
-0.05010986328125,
... |
timm/tf_efficientnet_b7.ra_in1k | 2023-04-27T21:26:10.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:1909.13719",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_b7.ra_in1k | 0 | 717 | timm | 2022-12-13T00:06:26 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b7.ra_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with rand-augment in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Detai... | 4,582 | [
[
-0.032623291015625,
-0.040313720703125,
-0.0038242340087890625,
0.00606536865234375,
-0.0198974609375,
-0.031097412109375,
-0.023590087890625,
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0.014312744140625,
0.025482177734375,
-0.030548095703125,
-0.048065185546875,
-0.0552978515625,
... |
heegyu/ajoublue-gpt2-base | 2023-03-04T14:09:56.000Z | [
"transformers",
"pytorch",
"jax",
"gpt2",
"text-generation",
"ko",
"dataset:heegyu/korean-petitions",
"dataset:heegyu/namuwiki-extracted",
"dataset:heegyu/kowikitext",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | heegyu | null | null | heegyu/ajoublue-gpt2-base | 1 | 717 | transformers | 2023-01-06T14:49:23 | ---
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
- GPT2(Flax, Pytorch)
- 12 Layers, 768 hidden dim, 3072 intermediate, 12 heads, 51200 vocab size
- 1024 ma... | 2,821 | [
[
-0.037384033203125,
-0.0552978515625,
0.0235595703125,
0.0244140625,
-0.03179931640625,
0.0013093948364257812,
0.0007781982421875,
-0.01898193359375,
0.035247802734375,
0.0162353515625,
-0.0262603759765625,
-0.039794921875,
-0.057159423828125,
0.012870788574... |
TheBloke/Llama-2-13B-AWQ | 2023-09-27T12:49:42.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-2",
"en",
"arxiv:2307.09288",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Llama-2-13B-AWQ | 2 | 717 | transformers | 2023-09-18T23:56:32 | ---
language:
- en
license: llama2
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
model_name: Llama 2 13B
base_model: meta-llama/Llama-2-13b-hf
inference: false
model_creator: Meta
model_type: llama
pipeline_tag: text-generation
prompt_template: '{prompt}
'
quantized_by: TheBloke
---
<!-- header start -->
<!--... | 19,461 | [
[
-0.038177490234375,
-0.0548095703125,
0.0281982421875,
0.003337860107421875,
-0.0206146240234375,
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0.00907135009765625,
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0.0240020751953125,
-0.049774169921875,
-0.037506103515625,
-0.0225677490234375,... |
asapp/sew-d-tiny-100k-ft-ls100h | 2023-06-15T19:07:05.000Z | [
"transformers",
"pytorch",
"safetensors",
"sew-d",
"automatic-speech-recognition",
"audio",
"speech",
"hf-asr-leaderboard",
"en",
"dataset:librispeech_asr",
"arxiv:2109.06870",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | asapp | null | null | asapp/sew-d-tiny-100k-ft-ls100h | 1 | 716 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- librispeech_asr
tags:
- audio
- speech
- automatic-speech-recognition
- hf-asr-leaderboard
license: apache-2.0
widget:
- example_title: Librispeech sample 1
src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
- example_title: Librispeech sample 2
src: https://cdn-media.hug... | 4,572 | [
[
-0.0239105224609375,
-0.03973388671875,
0.017578125,
0.00885772705078125,
-0.021636962890625,
-0.0203704833984375,
-0.02532958984375,
-0.031280517578125,
0.00034046173095703125,
0.02252197265625,
-0.04107666015625,
-0.024017333984375,
-0.0438232421875,
-0.02... |
timm/levit_384.fb_dist_in1k | 2023-02-03T21:14:05.000Z | [
"timm",
"pytorch",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2104.01136",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/levit_384.fb_dist_in1k | 0 | 716 | timm | 2023-02-03T21:13:49 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for levit_384.fb_dist_in1k
A LeViT image classification model using convolutional mode (using nn.Conv2d and nn.BatchNorm2d). Pretrained on ImageNet-1k using distillation by paper authors.
## Model D... | 4,033 | [
[
-0.0400390625,
-0.02734375,
0.0108642578125,
0.00275421142578125,
-0.0301666259765625,
-0.022796630859375,
-0.0126800537109375,
-0.02191162109375,
0.015716552734375,
0.022308349609375,
-0.042510986328125,
-0.04541015625,
-0.0439453125,
-0.00841522216796875,
... |
KETI-AIR-Downstream/long-ke-t5-base-translation-aihub-ko2en | 2023-09-18T01:28:14.000Z | [
"transformers",
"pytorch",
"safetensors",
"longt5",
"text2text-generation",
"generated_from_trainer",
"translation",
"ko",
"en",
"dataset:KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/... | translation | KETI-AIR-Downstream | null | null | KETI-AIR-Downstream/long-ke-t5-base-translation-aihub-ko2en | 5 | 716 | transformers | 2023-04-28T13:59:01 | ---
language:
- ko
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/aihub_spoken_language_translation
metrics:
- bleu
pipeline_tag: translati... | 3,122 | [
[
-0.034820556640625,
-0.036041259765625,
0.0074005126953125,
0.0103302001953125,
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0.0107879638671875,
0.026458740234375,
-0.04779052734375,
-0.04046630859375,
-0.050628662109375,
... |
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