Instructions to use thangla01/04a1630f-d6de-4bda-a447-f24900b74f98 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thangla01/04a1630f-d6de-4bda-a447-f24900b74f98 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Maykeye/TinyLLama-v0") model = PeftModel.from_pretrained(base_model, "thangla01/04a1630f-d6de-4bda-a447-f24900b74f98") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fdcf283474fd6d4bf093e3fa7e316e71dbc094c338a461a186ef239f4f42022
- Size of remote file:
- 417 kB
- SHA256:
- 37ea739dba2a19db96d82112e19352ab19c875def51cfb0b25037bf976d7b115
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