Instructions to use besimray/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use besimray/test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.2-3B-Instruct") model = PeftModel.from_pretrained(base_model, "besimray/test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9495a0815ccad7a054e9427c0a220d9f19694792622caa1c2064b4d2cb701b6f
- Size of remote file:
- 6.65 kB
- SHA256:
- 0796ff0b1a86f9f71fa065e52907f37a5901a78d76587d76fddb76319a6b4ce3
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