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:
- 30d28e26a80103251c5b10255baa3f54f6983cd06d75619c5e2ecf1c7d9b1790
- Size of remote file:
- 6.78 kB
- SHA256:
- 3376e4053f663dd64ae278a24730d2a89382d9f727bba76d52b682362bebaa8b
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