Instructions to use nhung03/3ca7c082-d5e5-4737-80b0-c095aaf8eb46 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung03/3ca7c082-d5e5-4737-80b0-c095aaf8eb46 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama-chat") model = PeftModel.from_pretrained(base_model, "nhung03/3ca7c082-d5e5-4737-80b0-c095aaf8eb46") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03e5ec177643460c50d7f10b9895b9194f76bd333a4169a623d356b9a59a2fc9
- Size of remote file:
- 25.3 MB
- SHA256:
- efb95f11f6ff318861e8b47c54c2702e4426aae5a806f1ae1927d3ceec901e10
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