Instructions to use nhungphammmmm/bc775fa2-9c00-46fc-bf75-8a2c291f8686 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/bc775fa2-9c00-46fc-bf75-8a2c291f8686 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("heegyu/WizardVicuna-open-llama-3b-v2") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/bc775fa2-9c00-46fc-bf75-8a2c291f8686") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 219b73f5a657dde12c8ebfdd6f149f0cf54513d725d6156bcc5ef7ebd482b350
- Size of remote file:
- 51 MB
- SHA256:
- c50dbf1942a8f07539c642e636ff4441d1a6355793492d5bf6916a306ae85e42
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