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:
- 04e7d32272d37c3ace3f67c467bce5d5c99f0fc3a20311e7b43efa2ec31e05f0
- Size of remote file:
- 114 MB
- SHA256:
- 52802d6fe841aab344f58af86ae4e93858c4cfa88133b5fa9682f91d0290f6e4
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