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Efficient mass accretion onto the NS (at least 70% of the mass\ntransferred is accreted) with an X-ray irradiated disk followed by strong\nirradiation of the companion can explain most of the properties of the observed\nspiders
from the top result below
https://huggingface.co/papers?q=companion
However, the properties of medical images make unreliable\ncorrespondence discovery, bringing an open problem of large-scale false\npositive and negative (FP&N) pairs in DCRL
https://huggingface.co/docs/hub/datasets-upload-guide-llm
Users can also reference this guide to understand the upload process and best practices
https://huggingface.co/docs/hub/datasets-gated
Review access requests
Once access requests are enabled, you have full control of who can access your dataset or not, whether the approval mode is manual or automatic
https://huggingface.co/papers?q=role-play
We also release an open-source dataset for video-grounded role-playing dialogue
https://huggingface.co/papers?q=persona
These 1 billion personas (~13% of the world's total population), acting as distributed carriers of world knowledge, can tap into almost every perspective encapsulated within the LLM, thereby facilitating the creation of diverse synthetic data at scale for various scenarios
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/Xenova/whisper-base.en
import { pipeline } from '@huggingface/transformers';
const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-base
https://huggingface.co/ggml-org/Qwen2.5-Omni-3B-GGUF/resolve/main/Qwen2.5-Omni-3B-Q4_K_M.gguf
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https://huggingface.co/koboldcpp/tts/resolve/main/Qwen3-TTS-12Hz-1.7B-Base-q8_0.gguf
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https://huggingface.co/koboldcpp/tts/resolve/main/Qwen3-TTS-12Hz-1.7B-VoiceDesign-Q8_0.gguf
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