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30 result(s) for “okapi bm25 site hotchips pp site github com site text of de site huggingface co site:huggingface.co” of 98 matched · 1033 ms
Scope: Nishi’s own index (our crawl + Common Crawl) — not the whole live web. Some sites block all automated crawlers (anti-bot walls), so their pages may be absent here even though we never filter lawful content.
Freshness: newest result fetched 24 d ago · median age of these results 24 d · 1 of 30 carry a fetch time
png","numComments":0,"upvoted":false,"isAuthorParticipating":false,"highlightedTitle":[{"type":"text","text":"Not Search, But Scan: Benchmarking MLLMs on Scan-Oriented Academic Paper Reasoning"}],"highlightedSummary":[{"type":"text","text":"With the rapid progress of multimodal large language models (MLLMs), AI already
from the top result below
https://huggingface.co/papers?q=reflective%20essays
These techniques uncover useful student\nfeedback from thousands of comments, costing around 0
https://huggingface.co/datasets/microsoft/benchpress-score-matrix
00933 defines the full MCP-Atlas benchmark as 1,000 tasks over 36 real MCP servers and 220 tools; the ScaleAI/MCP-Atlas HF card and scaleapi/mcp-atlas GitHub repo expose the public release as 500 evaluation prompts/tasks, matching this MCPAtlas Public benchmark row
https://huggingface.co/microsoft/models
8/site-packages/transformers/processing_utils
https://huggingface.co/papers?q=companion
png","numComments":0,"upvoted":false,"isAuthorParticipating":false,"highlightedTitle":[{"type":"text","text":"The Binary Fraction of Red Supergiants in the Magellanic Clouds"}],"highlightedSummary":[{"type":"text","text":"Red supergiants (RSGs), as the descendants of OB-type stars and the\nprogenitors of supernovae
https://huggingface.co/papers?q=role-play
To optimize this See-Think-Speak process, EBM-RL integrates complementary rewards for scene--text alignment, perceptual--cognitive utility, answer faithfulness, and format consistency
https://huggingface.co/papers?q=persona
Using datasets annotated with word-level rationales, we measure agreement with human annotations from different demographic groups, and assess the impact of PP on model bias and human alignment
https://huggingface.co/microsoft
8/site-packages/transformers/processing_utils
https://huggingface.co/qianhuiwu/GUI-Actor-3B-Qwen2.5-VL-LiteTrain
co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy
https://huggingface.co/koboldcpp
co/koboldcpp/tts\" rel=\"nofollow\">tts</a> - Contains
text to speech models for KoboldCpp<br><a href=\"https://
huggingface https://huggingface.co/baidu/Unlimited-OCR
000Z","likes":3526,"pipeline_tag":"image-text-to-text","library_name":"transformers","librariesOther":[],"trackDownloads":true,"model-index":null,"evalResults":[{"dataset":{"id":"llamaindex/ParseBench","isBenchmark":true,"task_id":"mean"},"value":46
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":
https://huggingface.co/Rexhaif/Qwen3-4B-MTEval-SFT
000Z","likes":0,"pipeline_tag":"text-generation","library_name":"transformers","librariesOther":[],"trackDownloads":true,"model-index":[{"name":"Qwen3-4B-MTEval-SFT","results":[]}],"private":false,"repoType":"model","gated":false,"tags":["transformers","safetensors","qwen3","text-generation","axolotl
https://huggingface.co/papers/trending
Trained from scratch on approximately 560M unlabeled images and 100M unlabeled video frames, Mage-ViT matches or outperforms flagship encoders trained on billions of image-text pairs
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/datasets/teknium/OpenHermes-2.5
99934,"no_label_count":0,"no_label_proportion":0,"n_unique":175,"frequencies":{"International Liquidity Account":5,"Services Account":4,"Total Outlay/Expenditure Method":4,"Central Problems of an Economy":3,"Meaning of Deficient Demand":4,"Deficit and Surplus Balance of Payments":4,"Balance of Payments on Current
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/zai-org/GLM-5.3
</tool_call>{%- endif -%}\n{%- macro visible_text(content) -%}\n {%- if content is string -%}\n {{- content }}\n {%- elif content is iterable and content is not mapping -%}\n {%- for item in content -%}\n {%- if item is mapping and item
https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B
is iterable and content is not mapping %}\n {%- for item in content %}\n {%- if 'text' in item %}\n {{- item
https://huggingface.co/microsoft/spaces
8/site-packages/transformers/processing_utils
https://huggingface.co/microsoft/papers
8/site-packages/transformers/processing_utils
https://huggingface.co/tlodato
co/v1/production/uploads/657f3d21f4f72f2c4c51d2ca/ITfWuC2xzwBwPiIY73M35
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
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/Mozilla/Meta-Llama-3.1-405B-llamafile
Testing
These llamafiles were built on a Threadripper 7995WX workstation with 512GB of RAM, which with the Q2_K weights processes prompts at 13+ tok/sec and generates text at 1
https://huggingface.co/k8si
get(res[\"task\"][\"type\"])][0]} for res in task_results]\nIndexError: list index out of range\n","replicas":{"requested":1},"devMode":false,"domains":[{"domain":"k8si-mteb-leaderboard-mtr
https://huggingface.co/blog/audio-datasets
opus',
}
We can see that there are a number of features returned by the training split, including segment_id, speaker, text, audio and more
https://huggingface.co/docs/hub/agents-local
co/settings/hardware and configure your local hardware profile
https://huggingface.co/Mozilla/OLMo-7B-0424-llamafile
com/allenai/OLMo
Evaluation code: https://github
https://huggingface.co/docs/hub/search
co/search or, using the search bar at the top of https://huggingface
https://huggingface.co/docs/hub/spaces-agents
Find one via semantic search on huggingface