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:
- 5d0afff73d632cbc7ecea829910042d818027aa22fe3903a9e02139ca0b77bec
- Size of remote file:
- 97.4 MB
- SHA256:
- 43bf6fd3cc6bb3b2f61eb935b2c760530f315b059c95c5db87d7f3f2698f317b
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