Instructions to use codegood/MistralLite_SC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codegood/MistralLite_SC with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("amazon/MistralLite") model = PeftModel.from_pretrained(base_model, "codegood/MistralLite_SC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 695252e5f7d42befae22c224ab95caf8c77f90dea11ef508777ccbc05e80ad38
- Size of remote file:
- 627 Bytes
- SHA256:
- e1c1cdb58cd333742018ad77fd5bda8456851a00f4eac62da8c9b66ef9266b91
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