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:
- 7e1862613a669f707de2cc2a2ae798fa131f8914fbcd6c6cc1dac4b7b5ea69fb
- Size of remote file:
- 114 MB
- SHA256:
- fc6f0f2265ec16ac2802075075347956a55aa064cd7390d745520d6fdc8c8a35
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