Instructions to use sai1881/Sample_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sai1881/Sample_1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "sai1881/Sample_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cbf493f8586e3f60598c933ec0327824a0b51c66870c1125cb299d25d967d6a
- Size of remote file:
- 1.38 GB
- SHA256:
- 3d561b25a565c5ff0db90538a76656b96b95df040c5ec585d32c493e2b6190d0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.