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:
- 0018b33fa5ed38e356549d3e00b803ba672daef7d02b5407377e3e883ee58f70
- Size of remote file:
- 14.6 kB
- SHA256:
- f43e1387c84d2b35be4255965cc914020ca0c626de9cc10c555391892e13d8bf
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