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:
- d649a527cc6adac5adae3f9ed92c22f9af99fb1faa18c1fb573c6dc6cbc06acd
- Size of remote file:
- 229 MB
- SHA256:
- 9f6d72333a085ce0afc0f592fc91d6a2eca268977a16740d4447c1172db2980b
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