Instructions to use aleegis10/42e33b36-acc2-4cfe-9eba-d0e6fd6dcf29 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis10/42e33b36-acc2-4cfe-9eba-d0e6fd6dcf29 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-llama-fast-tokenizer") model = PeftModel.from_pretrained(base_model, "aleegis10/42e33b36-acc2-4cfe-9eba-d0e6fd6dcf29") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4038c2f7f79e16de6d7dc2e82331479841bb75d466894877cd3d356f3a9db4fc
- Size of remote file:
- 14.2 kB
- SHA256:
- cb4dfccf3ebd80fb13ff5ce61ebd51a79dc722fd783ff1cb94bba3d43616a1e8
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