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:
- 8a761fa1c33696c948d3ec014fb69f9ee77948b3a239d54da724f8cf4863ef68
- Size of remote file:
- 4.09 kB
- SHA256:
- b489330f13bf7e00178adfb099c6c96d7c75aa13ae404a438bb09abd2d59d1ce
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