Instructions to use Howard881010/epidemiology_sft_10000_mcq_2epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Howard881010/epidemiology_sft_10000_mcq_2epoch 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_2epoch") - Notebooks
- Google Colab
- Kaggle
epidemiology_sft_10000_mcq_2epoch / runs /Jan16_02-58-07_ctua-mistral-sft-epi2-333c1-7zlmh /events.out.tfevents.1737003997.ctua-mistral-sft-epi2-333c1-7zlmh.317.1
- Xet hash:
- e861b0262e96d0fc5edfda99f17f55be6cbb4fdbee6051268ae8c90865032283
- Size of remote file:
- 359 Bytes
- SHA256:
- 898214252f7f70d7acb843289cb03b4a321f5620d8a739a0fa2cbb4f5bba6a43
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