Instructions to use Bachhoang/peft-continual-pretraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bachhoang/peft-continual-pretraining with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Bachhoang/peft-continual-pretraining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from Bachhoang/peft-continual-pretraining: direct link, hf CLI and curl.
- Browser
- Download file 795 kB
-
https://huggingface.co/Bachhoang/peft-continual-pretraining/resolve/main/tokenizer.model
- Command line
-
hf download hf://Bachhoang/peft-continual-pretraining/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/Bachhoang/peft-continual-pretraining/resolve/main/tokenizer.model
795 kB
- Xet hash:
- b29109b07040d2f4872a27bcc527fe86f8324e48aa0aa4123701774e76b56324
- Size of remote file:
- 795 kB
- SHA256:
- 450f5e8ed9b73ec6e9c31822ac667f93451914e8f80a5ef5a3be71916e44c506
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