Model Hub

Browse PQC-verified AI models, datasets, and tools

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timm/wide_resnet50_2.racm_in1k HF Unverified

Image-ClassificationTimmPyTorchSafetensorsTransformers MEDIUM
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deepset/roberta-base-squad2 HF Unverified

Question AnsweringTransformersPyTorchTfJAXRust HIGH
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mlx-community/Kokoro-82M-bf16 HF PQC Verified

Text-To-SpeechMlxBase_model:yl4579/StyleTTS2-LJSpeechBase_model:finetune:yl4579/StyleTTS2-LJSpeechEnglish MEDIUM
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Abiray/Minimax-H3-nvfp4-INT4-INT8-Convrot HF Unverified

Image-Text-To-VideoDiffusersText-To-VideoImage-To-VideoVideo-To-VideoText-To-Audio-Video CRITICAL
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timm/vit_small_patch16_224.augreg_in21k_ft_in1k HF Unverified

Image-ClassificationTimmPyTorchSafetensorsTransformers MEDIUM
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apple/mobilevit-small HF PQC Verified

Image-ClassificationTransformersPyTorchTfCoremlMobilevit MEDIUM
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Lightricks/LTX-2.3-fp8 HF PQC Verified

Image-To-VideoDiffusersText-To-VideoVideo-To-VideoImage-Text-To-VideoAudio-To-Video HIGH
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timm/vit_base_patch16_224.augreg2_in21k_ft_in1k HF Unverified

Image-ClassificationTimmPyTorchSafetensorsTransformers MEDIUM
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cross-encoder/nli-deberta-v3-small HF Unverified

Zero-Shot ClassificationSentence-TransformersPyTorchONNXSafetensorsDeberta-V2 HIGH
inclusionAI/OpenAoE-2000h HF Unverified

Open-AoE — Egocentric Hand Manipulation Dataset Release Roadmap Tier Duration Status nano ~3 h ✅ Released tiny ~100 h ✅ Released full 2000 h 🚧 Uploading (batch4–6 ≈694h ready; see notes) Release notes 2026-07-30: Removed samples flagged in PR #1 for camera-intrinsics vs. video-resolution mismatches. 2026-07-31: Uploaded ~323h of data. 2026-08-12: Uploaded ~694h of data(ms only, waiting for HF storage expansion). Additional… See the full description on the dataset page: https://huggingface.co/datasets/inclusionAI/OpenAoE-2000h.

Language:zhLanguage:enEgocentricManipulationManoHand-Pose
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buildborderless/CommunityForensics-DeepfakeDet-ViT HF Unverified

Image-ClassificationTransformersSafetensorsVitTimmDetection MEDIUM
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MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli HF Unverified

Zero-Shot ClassificationTransformersPyTorchSafetensorsDeberta-V2Text Classification MEDIUM
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segment-any-text/sat-3l-sm HF Unverified

Token ClassificationTransformersONNXSafetensorsXlm-TokenMultilingual HIGH
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onecxi/open-vakgyata HF Unverified

Audio-ClassificationTransformersONNXSafetensorsWav2vec2Language-Identification MEDIUM
SwayStar123/preprocessed_commoncatalog-cc-by HF Unverified

I also seperately provide just the prompts in prompts.json keys are the image_id, and the values are the captions generated Captions generated by moondream: vikhyatk/moondream2 Latents generated by SDXL VAE: madebyollin/sdxl-vae-fp16-fix Embeddings generated by SigLIP: hf-hub:timm/ViT-SO400M-14-SigLIP-384 Original dataset: common-canvas/commoncatalog-cc-by Latents f32 and embeddings are f16 bytes Compute cost: 16x3090 for 3 day. Approximately.

Language:enSize_categories:10M<n<100MFormat:parquetModality:textLibrary:datasetsLibrary:dask
google-research-datasets/mbpp HF Unverified

Dataset Card for Mostly Basic Python Problems (mbpp) Dataset Summary The benchmark consists of around 1,000 crowd-sourced Python programming problems, designed to be solvable by entry level programmers, covering programming fundamentals, standard library functionality, and so on. Each problem consists of a task description, code solution and 3 automated test cases. As described in the paper, a subset of the data has been hand-verified by us. Released here as part of… See the full description on the dataset page: https://huggingface.co/datasets/google-research-datasets/mbpp.

Annotations_creators:crowdsourcedAnnotations_creators:expert-GeneratedLanguage_creators:crowdsourcedLanguage_creators:expert-GeneratedMultilinguality:monolingualSource_datasets:original
jat-project/jat-dataset-tokenized HF Unverified

Dataset Card for "jat-dataset-tokenized" More Information needed

Size_categories:10M<n<100MFormat:parquetModality:timeseriesLibrary:datasetsLibrary:daskLibrary:mlcroissant
allenai/openbookqa HF Unverified

Dataset Card for OpenBookQA Dataset Summary OpenBookQA aims to promote research in advanced question-answering, probing a deeper understanding of both the topic (with salient facts summarized as an open book, also provided with the dataset) and the language it is expressed in. In particular, it contains questions that require multi-step reasoning, use of additional common and commonsense knowledge, and rich text comprehension. OpenBookQA is a new kind of… See the full description on the dataset page: https://huggingface.co/datasets/allenai/openbookqa.

Task_categories:question-AnsweringTask_ids:open-Domain-QaAnnotations_creators:crowdsourcedAnnotations_creators:expert-GeneratedLanguage_creators:expert-GeneratedMultilinguality:monolingual
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hantian/layoutreader HF Unverified

Token ClassificationTransformersPyTorchSafetensorsLayoutlmv3 HIGH
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flair/ner-english-fast HF Unverified

Token ClassificationFlairPyTorchSequence-Tagger-ModelEnglish MEDIUM
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