Instructions to use chauhoang/bfc08a13-1daa-5df3-61c7-6979f7ea7e3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/bfc08a13-1daa-5df3-61c7-6979f7ea7e3b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama-chat") model = PeftModel.from_pretrained(base_model, "chauhoang/bfc08a13-1daa-5df3-61c7-6979f7ea7e3b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61750651734dd3d13caa569eb43c4847e7d1a04c5d13db866edeb7fe2c5f369f
- Size of remote file:
- 25.3 MB
- SHA256:
- f5ca66ac30a6c9dbf7b6dfaaf14500a9a9f761e71a0616373803085ed65decb9
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