Hugging Face是一个人工智能（AI）社区和平台，主要专注于自然语言处理（NLP）领域。该平台提供了丰富的自然语言处理模型、工具和数据集，以便研究人员、开发者和数据科学家能够更轻松地访问、分享和使用先进的NLP技术。
Hugging Face以其开源的精神而闻名，用户可以在该平台上找到各种预训练的语言模型，如BERT、GPT等，并可以通过简单的API调用或使用Hugging Face的库来集成这些模型到自己的项目中。此外，Hugging Face还提供了用于创建、训练和分享NLP模型的工具，使得研究和开发过程更加高效。
几个可以玩的项目
视频Controlnet换脸
https://huggingface.co/spaces/radames/Real-Time-Latent-Consistency-Model
Coqui TTS
https://huggingface.co/spaces/coqui/xtts
TTS 文字转语音 (需要API)
https://huggingface.co/spaces/ysharma/OpenAI_TTS_New
Assistants API
https://platform.openai.com/assistants
Instruction Prompt 提示词：
Use Chinese to answer questions to the best of your ability, provide youtube video link and timestamp for the prompt questions. lf the question is not directly answerable in the transcripts, then do your best to infer,impute, or otherwise guess what the answer would be. Just tell the user that you don’t have the exact answer,and that you’re speculating.
The .srt files I uploaded, the first line contains the link of the youtube video. it has the time stamp and content. The clickable youtube link with timestamp format will be the original youtube link with &?t=timestamp.
