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
Download adapter_model.bin from codegood/MistralLite_SC: direct link, hf CLI and curl.
- Browser
- Download file 369 MB
-
https://huggingface.co/codegood/MistralLite_SC/resolve/main/adapter_model.bin
- Command line
-
hf download hf://codegood/MistralLite_SC/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/codegood/MistralLite_SC/resolve/main/adapter_model.bin
369 MB
- Xet hash:
- 2bee26246e52a4607763ba5aca10e6c7986a51899a05ad2a288210e7cf8964f3
- Size of remote file:
- 369 MB
- SHA256:
- 620ee6b3754a636bc9b3120c660998d2babf9e4aa7e6f6838ecb26e8e626ec4c
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