Instructions to use tuanna08go/b56c01ac-63a8-e431-7409-e71e37436735 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuanna08go/b56c01ac-63a8-e431-7409-e71e37436735 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("JackFram/llama-68m") model = PeftModel.from_pretrained(base_model, "tuanna08go/b56c01ac-63a8-e431-7409-e71e37436735") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7c113ca5192353e58887ed31b0262e3bfd5e0deebe9ebcbdb2f83f31447c223
- Size of remote file:
- 6.78 kB
- SHA256:
- 50a86f0a7627a3174ce58285ee19f45dff030dbb82c9e778fb0ca11d5cd013fa
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