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:
- e4772ebae49c0266ec14e31531fc8a28121fdc260adf4fb649661528a7f286b1
- Size of remote file:
- 6.78 kB
- SHA256:
- f23e9b7c8dd103186e7618a1f9afab8f5f327d45c633d30e85db00e6533f3186
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