Instructions to use Howard881010/heat_transfer_sft_5000_mcq_1epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Howard881010/heat_transfer_sft_5000_mcq_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/heat_transfer_sft_5000_mcq_1epoch") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd4000ecb5d35ab6fd9d59973356daf33da24ce3d6b6297897c6716069cd746e
- Size of remote file:
- 15 kB
- SHA256:
- 4388add9cec90932f8ff0100d27a0574d98e1bad52ff89d44e31967d2b4fbfde
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