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:
- 27bd4db9b490d7a59faffbf7f1cca9ff8cb2d635142349e62ae8448b5abecc1b
- Size of remote file:
- 391 kB
- SHA256:
- bf4e8e74c0faabe597f15c9de91157196e04bfae0e8ab035b96ba64b412eb14f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.