Instructions to use wangfarmer/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use wangfarmer/model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-chat-hf") model = PeftModel.from_pretrained(base_model, "wangfarmer/model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3117cbc4a74f3019165bc576faebcae086962ac5ec49dcafd94ff625ec887b9e
- Size of remote file:
- 210 MB
- SHA256:
- f96b6a83fae87191908e8b4efb7baffab249ae420ed8dd242dad081faf3f3d33
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