Instructions to use nhungphammmmm/764efec6-3d46-4e49-9ca8-c707f33b8ac0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/764efec6-3d46-4e49-9ca8-c707f33b8ac0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("JackFram/llama-68m") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/764efec6-3d46-4e49-9ca8-c707f33b8ac0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c762fccf6ecf0969be5bd945748c1c3c78e74c0cd527838dea35a6fe8be88c64
- Size of remote file:
- 1.14 MB
- SHA256:
- 723eb8011bda7b421ce6593e659d67e9544311fbc9d6b9c99623c50c027de0a1
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