Instructions to use thangla01/f7c10bd0-65bb-42f4-b856-acb02834b4b8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thangla01/f7c10bd0-65bb-42f4-b856-acb02834b4b8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-410m-deduped") model = PeftModel.from_pretrained(base_model, "thangla01/f7c10bd0-65bb-42f4-b856-acb02834b4b8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5cd7c4cc9575b13dcb7a8190fa229cbc348e470fba932bd99cf5ba40469148fb
- Size of remote file:
- 12.7 MB
- SHA256:
- 20f8ecb8a82c11e40815cdb8bc1e4bd197388cacfb143a866e6a8d177fc7db6c
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