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com/YutingHe-list/GEMINI","githubRepoAddedBy":"auto","ai_summary":"GEMINI improves dense contrastive representation learning for medical images by incorporating deformable homeomorphism learning and geometric semantic similarity to enhance correspondence discovery, performance, and learning efficiency
from the top result below

Daily Papers - Hugging Face

https://huggingface.co/papers?q=companion
com/YutingHe-list/GEMINI","githubRepoAddedBy":"auto","ai_summary":"GEMINI improves dense contrastive representation learning for medical images by incorporating deformable homeomorphism learning and geometric semantic similarity to enhance correspondence discovery, performance, and learning efficiency

microsoft/benchpress-score-matrix · Datasets at Hugging Face

https://huggingface.co/datasets/microsoft/benchpress-score-matrix
com/eval-sys/mcpmark"},"canonical_setting_json":{"kind":"string","value":"{\"higher_is_better\": true, \"judge\": \"programmatic verification scripts\", \"metric_type\": \"pct\", \"multimodal_input\": false, \"notes\": \"Official sources are arXiv:2509

","pad_token":"<|endoftext|>"},"chat_template_jinja":"[gMASK]<sop>\n{%

https://huggingface.co/zai-org/GLM-5.3
output is defined -%}1{%- endif -%}\n{%- endmacro -%}\n{%- macro has_dup_tool_result_id(lo, hi, target) -%}\n {%- set ns_cnt = namespace(n=0) -%}\n {%- for k in range(lo, hi + 1) -%}\n {%- set m = messages[k] -%}\n {%- if is_list_of_outputs(m) -%}\n {%- for entry in m

Xenova/whisper-base.en · Hugging Face

https://huggingface.co/Xenova/whisper-base.en
js","onnx","whisper","automatic-speech-recognition","base_model:openai/whisper-base

Downloading models · Hugging Face

https://huggingface.co/docs/hub/models-downloading
Downloading behind a proxy or firewall If your network restricts outbound traffic through a firewall or proxy, downloading models and datasets requires more than just huggingface

Rexhaif/Qwen3-4B-MTEval-SFT · Hugging Face

https://huggingface.co/Rexhaif/Qwen3-4B-MTEval-SFT
:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]

Local Agents with llama.cpp · Hugging Face

https://huggingface.co/docs/hub/agents-local
1:8080/v1" \ --custom-model-id "ggml-org-gemma-4-26b-a4b-gguf" \ --custom-api-key "llama

Evaluation Results · Hugging Face

https://huggingface.co/docs/hub/eval-results
HF username/org notes: "no-tools" # Optional

Popular Images · Hugging Face

https://huggingface.co/docs/hub/jobs-popular-images
A uv run --system-site-packages that would reuse the image’s packages and skip the reinstall is requested upstream

koboldcpp/music at main

https://huggingface.co/koboldcpp/music/tree/main
cpp/releases # Start a local OpenAI-compatible server with a web UI:

qianhuiwu/GUI-Actor-3B-Qwen2.5-VL-LiteTrain · Hugging Face

https://huggingface.co/qianhuiwu/GUI-Actor-3B-Qwen2.5-VL-LiteTrain
com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay

Configuration · Hugging Face

https://huggingface.co/docs/hub/jobs-configuration
For HF_TOKEN, it may read the token file located in the Hugging Face home folder if the environment variable is unset

A Complete Guide to Audio Datasets

https://huggingface.co/blog/audio-datasets
If we hit the play button on the first sample, we can listen to the audio and see the corresponding text

Mozilla/whisperfile · Hugging Face

https://huggingface.co/Mozilla/whisperfile
If you download one of the other models, then you'll need to install the CUDA or ROCm SDK and pass --recompile to build a GGML CUDA module for your system

Webhooks · Hugging Face

https://huggingface.co/docs/hub/webhooks
co/openai-community/gpt2", "api": "https://huggingface

Use AI Models Locally · Hugging Face

https://huggingface.co/docs/hub/local-apps
Supported Local Apps The best way to check if a local app is supported is to go to the Local Apps settings and see if the app is listed

Daily Papers - Hugging Face

https://huggingface.co/papers?q=reflective%20essays
com/rosewang2008/sight","githubRepoAddedBy":"auto","ai_summary":"A dataset and automated methods using large language models classify online student feedback efficiently, enhancing teacher improvement from lectures

Grogros/Llama-3.2-1B-distillation-alpaca-5.0-AlpacaRefuse-sauce1-PT2 ·

https://huggingface.co/Grogros/Llama-3.2-1B-distillation-alpaca-5.0-AlpacaRefuse-sauce1-PT2/discussions
Discussions Hugging Face Models Datasets Spaces Buckets new Docs Enterprise Pricing Website Tasks HuggingChat Collections Languages Organizations Community Blog Posts Daily Papers Learn Discord Forum GitHub Solutions Team

Next Steps · Hugging Face

https://huggingface.co/docs/hub/repositories-next-steps
How to programmatically manage repositories Hugging Face supports accessing repos with Python via the huggingface_hub library

jaigouk/MetaMath-Cybertron-Starling-Ruby · Hugging Face

https://huggingface.co/jaigouk/MetaMath-Cybertron-Starling-Ruby?local-app=docker-model-runner
type":"other","clickable":true},{"id":"base_model:finetune:Q-bert/MetaMath-Cybertron-Starling","label":"base_model:finetune:Q-bert/MetaMath-Cybertron-Starling","type":"other","clickable":true},{"id":"text-generation-inference","label":"text-generation-inference","type":"other","clickable":true},{"id":

mozilla-ai/Llama-3.2-1B-Instruct-llamafile · Hugging Face

https://huggingface.co/Mozilla/Llama-3.2-1B-Instruct-llamafile
Both of them are included in a single file, which can be downloaded and run as follows: wget https://huggingface

mozilla-ai/Llama-3.2-3B-Instruct-llamafile · Hugging Face

https://huggingface.co/Mozilla/Llama-3.2-3B-Instruct-llamafile
Both of them are included in a single file, which can be downloaded and run as follows: wget https://huggingface

Bucket Integrations · Hugging Face

https://huggingface.co/docs/hub/storage-buckets-integrations
parquet"]) Inspect AI Inspect AI can write evaluation logs directly to a bucket — point its log directory at an hf://buckets/ path (requires huggingface_hub>=1

Qwen/Qwen3.8-2.4T-A95B · Hugging Face

https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B
></function> block must be nested within <tool_call></tool_call> XML tags\\n- Required parameters MUST be specified\\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\\n- If there is no function call available, answer the question like normal with

Inference Providers · Hugging Face

https://huggingface.co/docs/hub/models-inference
1-dev" ) Or, you can just use the OpenAI API compatible client

Skills · Hugging Face

https://huggingface.co/docs/hub/agents-skills
Skills work with all major coding agents: Claude Code, OpenAI Codex, Google Gemini CLI, and Cursor

baidu/Unlimited-OCR · Hugging Face

https://huggingface.co/baidu/Unlimited-OCR
Hugging Face Models Datasets Spaces Buckets new Docs Enterprise Pricing Website Tasks HuggingChat Collections Languages Organizations Community Blog Posts Daily Papers Hardware Learn Discord Forum GitHub Solutions Team

Agents · Hugging Face

https://huggingface.co/docs/hub/agents-overview
Cursor / VS Code / Zed: Visit huggingface

GGUFr(general.architecturegemma3

https://huggingface.co/unsloth/gemma-3-12b-it-GGUF/resolve/main/gemma-3-12b-it-Q4_K_M.gguf
res▁k▁\▁D▁"and▁it);ereakoc▁R▁comort▁Fesspe▁se▁rant▁L▁Hew▁{endill▁E▁N

GGUFT&general.architecturegemma3

https://huggingface.co/ggml-org/gemma-3-1b-it-GGUF/resolve/main/gemma-3-1b-it-Q4_K_M.gguf
res▁k▁\▁D▁"and▁it);ereakoc▁R▁comort▁Fesspe▁se▁rant▁L▁Hew▁{endill▁E