Instructions to use Howard881010/epidemiology_sft_10000_mcq_u_1epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Howard881010/epidemiology_sft_10000_mcq_u_1epoch with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-Nemo-Instruct-2407") model = PeftModel.from_pretrained(base_model, "Howard881010/epidemiology_sft_10000_mcq_u_1epoch") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f107136b22793186b184b3ff9d97d01c058c4537e24245904ecd3314626b68fa
- Size of remote file:
- 114 MB
- SHA256:
- 7e8786eeb1bd79d8b7ea9d63e87f3e18ebe7e757f516d657b5e0929ce5dd4222
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