Instructions to use eeeebbb2/86eaa4ce-fd20-4d44-b116-393da232106b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/86eaa4ce-fd20-4d44-b116-393da232106b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "eeeebbb2/86eaa4ce-fd20-4d44-b116-393da232106b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9254328a72e72efc37b80740d0e98fee40bc749556f862d3eec941a2d0c9e532
- Size of remote file:
- 6.84 kB
- SHA256:
- d99feb1fa130b5b9918d2cee30d73cb2774d073b2d5cb5d32fef4d208b8ce855
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.