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:
- 7b59c3970a6186c49bb02a575f6846a37ba138698c95b6d233edf0aa42293460
- Size of remote file:
- 6.78 kB
- SHA256:
- b9f0c7c33de97de89ec7ebe85669886623bbde8d9737fa78c83cf7eb4d62a277
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