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:
- e1cd9a6dbed557243a3f26ca6224a0f5ac419fdcbe590deb416e72cb29d527f2
- Size of remote file:
- 229 MB
- SHA256:
- 9ccb2969b63c6ba3c81bd2d8d6260b6a9b782673417dc4260e73c2ad95cd6e93
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