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:
- 739cc834d367e26d9426ddf65cd89eff1ebba9a03b0518d62f3937ab9032f338
- Size of remote file:
- 4.09 kB
- SHA256:
- 3fc8176d75aa2d16fd843d99c7280360cc90c856bf2c46a84a3e469f37c114ae
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