Instructions to use codegood/MistralLite_SCQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codegood/MistralLite_SCQA 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_SCQA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07434edd9ac8ce462756003982911ce58fae9bffb744e91ac1ba93c515c007f4
- Size of remote file:
- 369 MB
- SHA256:
- ce3568d79313a585b806cf7e0cbeda8bba4ac45c07106c97b8ef7bfb965ceb7b
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