Instructions to use YieldInc/mbwxc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use YieldInc/mbwxc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "YieldInc/mbwxc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4109c92b17800ee1f1acad0fdc08fc8cb8b5c1016f4fd7997abb1f21fe9db3d
- Size of remote file:
- 146 MB
- SHA256:
- 62d71ce9d6bfdf0eac492c9012ccab0cf21e0bf27027cd22aadba3e7f59e88d0
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