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Freshness: newest result fetched 25 d ago · median age of these results 25 d · 1 of 30 carry a fetch time
com/InternLM/InternLM"},"canonical_setting_json":{"kind":"string","value":"{\"higher_is_better\": true, \"metric_type\": \"raw\", \"multimodal_input\": false, \"notes\": \"Per InternLM3 GitHub README
from the top result below
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
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
https://huggingface.co/docs/hub/repositories-github-actions
For keyless publishing — no HF_TOKEN secret to store or rotate — see Trusted Publishers, which exchanges GitHub Actions’ built-in OIDC token for a short-lived, repo-scoped Hub token at the start of each run
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
https://huggingface.co/docs/hub/models-downloading
co to these hostnames, so allowlisting huggingface
https://huggingface.co/koboldcpp
com/LostRuins/koboldcpp/releases/latest\" rel=\"nofollow\">KoboldCpp Github releases</a>\nLinux, Windows and MacOS are supported - pick the correct binary for your OS
https://huggingface.co/docs/hub/storage-limits
Storage limits and policies apply to all types of repositories (models, datasets, buckets, …) on the Hub
https://huggingface.co/papers/trending
Get trending papers in your email inbox
https://huggingface.co/papers?q=persona
While Persona prompting (PP) is increasingly used as a way to steer model towards user-specific generation, its effect on model rationales remains underexplored
https://huggingface.co/papers?q=role-play
Get trending papers in your email inbox
https://huggingface.co/datasets/teknium/OpenHermes-2.5
of Excess Demand":3,"Assumptions of Say’s Law":3,"What economics is all about":2,"Measures to Correct Excess and Deficient Demand":3,"Real Cost and Nominal Cost":4,"Distinction Between Micro and Macroeconomics":4,"Terms of Trade":5,"Precautions in the Estimation of Expenditure":4,"Difference between
https://huggingface.co/terms-of-service
co and related sites (the "Website"), these Terms of Service, together with our Supplemental Terms, notices and policies available at https://huggingface
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
https://huggingface.co/spaces/huggingface-course/README/blob/main/README.md
If you want to join in, follow this org
https://huggingface.co/blog/audio-datasets
Its minimalistic API allows users to download and prepare datasets in just one line of Python code, with a suite of functions that enable efficient pre-processing
https://huggingface.co/docs/hub/storage-buckets-security
Data Residency
Bucket data is stored in US and EU regions
https://huggingface.co/docs/hub/agents-skills
It’s the quickest way to connect your agent to the Hugging Face Hub and ecosystem
https://huggingface.co/docs/hub/publisher-analytics
Toggle between “All Time” and “Last Month” views to gain insights across your repositories over different periods
https://huggingface.co/docs/hub/jobs-reference
This tool allows you to interact with the Hugging Face Hub directly from a terminal
https://huggingface.co/docs/hub/spaces-agents
All you need is an HF_TOKEN set in your environment to get started
https://huggingface.co/k8si
com/avatar/35efe2ce01fa215f19ebfcd1dfcffd0f
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
https://huggingface.co/docs/hub/search
co/search or, using the search bar at the top of https://huggingface
https://huggingface.co/docs/hub/agents-libraries
Available in JavaScript (@huggingface/tiny-agents) and Python (huggingface_hub)
https://huggingface.co/Mozilla/Meta-Llama-3.1-405B-llamafile
This llamafile needs to be downloaded in multiple files, due to HuggingFace's 50GB upload limit and then concatenated back together locally
https://huggingface.co/docs/hub/models-uploading
NOTE: Models do NOT need to be compatible with the Transformers/Diffusers libraries to get download metrics
https://huggingface.co/docs/hub/agents-overview
”
Run Spaces“Use the Whisper Space to transcribe this audio file”
Get documentation“How do I fine-tune a model with transformers
https://huggingface.co/docs/hub/jobs-webhooks
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co/openai-community/gpt2",
"api": "https://huggingface