Instructions to use hllj/sft-mistral-v1-clean-valid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hllj/sft-mistral-v1-clean-valid with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("hllj/mistral-vi-math") model = PeftModel.from_pretrained(base_model, "hllj/sft-mistral-v1-clean-valid") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 852507ad38121f1f57c1d3f2fd7cc943680399be2aef3c10b8cadcaa6fd83079
- Size of remote file:
- 4.79 kB
- SHA256:
- 1b67df2fc3823b9f3903d0b6123c588fd2b58960ffbba701f8aec5cb61d48e0d
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