NishiSearch

Web This site Trusted

30 result(s) for “if cam target site whattodrink com site sec openai org site github com site:huggingface.co” of 34 matched · 967 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: no result on this page carries a fetch time yet (indexed before the fetch epoch was stored beside the doc)

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

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

Local Agents with llama.cpp · Hugging Face

https://huggingface.co/docs/hub/agents-local
co/settings/hardware and configure your local hardware profile

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:

Evaluation Results · Hugging Face

https://huggingface.co/docs/hub/eval-results
co/spaces/SaylorTwift/smollm3-mmlu-pro # Required if source provided name: Eval traces # Optional

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

https://huggingface.co/qianhuiwu/GUI-Actor-3B-Qwen2.5-VL-LiteTrain
co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy

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

Webhooks · Hugging Face

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

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

Xenova/whisper-base.en · Hugging Face

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

Mozilla/whisperfile · Hugging Face

https://huggingface.co/Mozilla/whisperfile
co/Mozilla/whisperfile/resolve/main/whisper-tiny

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

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

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

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

Downloading models · Hugging Face

https://huggingface.co/docs/hub/models-downloading
co:bigscience/bloom If you have write-access to the particular model repo, you’ll also have the ability to commit and push revisions to the model

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":

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]

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

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

Agents · Hugging Face

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

baidu/Unlimited-OCR · Hugging Face

https://huggingface.co/baidu/Unlimited-OCR
co/datasets/llamaindex/ParseBench","name":"ParseBench","isExternal":true,"author":{"_id":"6980fe7cc9e5d7013d527b3a","avatarUrl":"https://cdn-avatars

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