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:
- 7c295da13244f453ef0b7677e75b86fcecb2ba4c70fad12440c7058772ed2610
- Size of remote file:
- 6.78 kB
- SHA256:
- 259d934302849182312d383ccb173810441093760d24e12e2c5d62678d8e41c1
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