HuggingFace
1.[HF-Transformers] Quick tour
How to use the pipeline() ? for inference for load a pretrained model for preprocessor with an AutoClass for quickly train a model with PyTorch or T
2.[HF-Transformers] Trainer
All models are a standard torch.nn.Module so you can use them in any typical training loop. While you can write your own training loop, 🤗 Transformer
3.[Scalability] Gradient Accumulation
As a first experiment we will use the Trainer and train the model without any further modifications and a batch size of 4:We see that already a relati
4.[Hydra] 사용법
https://www.sscardapane.it/assets/images/draw/hydra.png!\[](https://velog.velcdn.com/images/ma-kjh/post/4e930f60-17f7-4ee4-a623-6802206a2038
5.[HF-NLP Course] Introduction
https://huggingface.co/learn/nlp-course/chapter1/1
6.[HF-Transformers] Fine-tune a pretrained model
https://huggingface.co/docs/transformers/training
7.[HF_HOME] storage
HF_HOMETo configure where huggingface_hub will locally store data. In particular, your token and the cache will be stored in this folder.Defaults to "