Hugging Face is a company and platform providing tools for building ML applications using state-of-the-art pretrained models, especially for NLP, vision, and audio tasks.
Key Concepts
Transformers library
Model Hub
Datasets library
Tokenizers
Inference API
Common Use Cases
NLP tasks (QA, translation, summarization)
Vision models
Audio processing
Transfer learning
Fine-tuning LLMs
Best Practices
Use pipeline for quick start
Fine-tune with Trainer API
Use Datasets for data loading
Leverage mixed precision
Optimize for inference
Resources
Huggingface.co: huggingface.co/docs
Model Hub: huggingface.co/models
Related Skills: nlp, pytorch, machine-learning
1---2name: huggingface3description: Hugging Face4---5# Hugging Face67Hugging Face is a company and platform providing tools for building ML applications using state-of-the-art pretrained models, especially for NLP, vision, and audio tasks.89## Key Concepts1011- Transformers library12- Model Hub13- Datasets library14- Tokenizers15- Inference API1617## Common Use Cases1819- NLP tasks (QA, translation, summarization)20- Vision models21- Audio processing22- Transfer learning23- Fine-tuning LLMs2425## Best Practices2627- Use pipeline for quick start28- Fine-tune with Trainer API29- Use Datasets for data loading30- Leverage mixed precision31- Optimize for inference3233## Resources3435- Huggingface.co: huggingface.co/docs36- Model Hub: huggingface.co/models37- Related Skills: nlp, pytorch, machine-learning
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