Instructions to use Howard881010/heat_transfer_sft_10000_mcq_2epoch 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_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/heat_transfer_sft_10000_mcq_2epoch") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71bd0e06823c45e3fd63826dc70081f3393cf520b7c604dae70f2988c7c757c8
- Size of remote file:
- 229 MB
- SHA256:
- 55ebcac98e01061440649acde501123e1c3b7c5d3a17667c4eae73641c8906a8
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