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:
- 223eea22814bf2ee4a2d663f277a7cc4fece9dcbc34665123c58c0385eb6e892
- Size of remote file:
- 1.06 kB
- SHA256:
- 8f8fe79dd2d524c3a47ebbac1a1fc359d4473e07185866008e654d72a772ea4f
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