Instructions to use Howard881010/heat_transfer_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/heat_transfer_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/heat_transfer_sft_10000_mcq_u_1epoch") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8e50bac2af05a1713a93add0ffecd9b8d5b34e4d00daca0dea4627d9c8c90a2
- Size of remote file:
- 5.5 kB
- SHA256:
- f7cc6ee75df7fb14a7358257971adef7e4d552407d4eda98c335735b6aa2b9c3
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