Instructions to use nhungphammmmm/864c9379-77af-4a39-a6f5-3187f7f279af with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/864c9379-77af-4a39-a6f5-3187f7f279af with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("migtissera/Tess-v2.5-Phi-3-medium-128k-14B") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/864c9379-77af-4a39-a6f5-3187f7f279af") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7bd54b79564e91eaed5cc406af04ac8a960d83c20c88e2528a1c0ce17328f814
- Size of remote file:
- 6.78 kB
- SHA256:
- c4bafa9b897391cbeb46bcb128bf7da04b2f3b7edf54ad905ff6027354eb98f1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.