Instructions to use chauhoang/cba9edd3-ca3f-4e30-919b-b38104f9c0e2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/cba9edd3-ca3f-4e30-919b-b38104f9c0e2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/tiny-random-LlamaForCausalLM") model = PeftModel.from_pretrained(base_model, "chauhoang/cba9edd3-ca3f-4e30-919b-b38104f9c0e2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7743206c5814de6f8a12b15b9536713a9e3728ddd338a65a07af49415431a81c
- Size of remote file:
- 27 kB
- SHA256:
- b27782f549db6a08602e5292d1f3b8ffbee76a61e0bf3bc06ba30434bc43fbfd
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