Instructions to use codegood/Mistral_SC_QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codegood/Mistral_SC_QA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("alexsherstinsky/Mistral-7B-v0.1-sharded") model = PeftModel.from_pretrained(base_model, "codegood/Mistral_SC_QA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f3cbe73310f33c607d5345915ab5cfed044471feb3558338960883528177b34
- Size of remote file:
- 336 MB
- SHA256:
- 245bbacc73fe94aa108a16aec9bdc0281424228acc2841cc9336f44dc7b6d5c9
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