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
heat_transfer_sft_5000_mcq_1epoch / runs /Jan15_22-30-44_ctua-mistral-sft-heat-333c1-hg6rc /events.out.tfevents.1736982668.ctua-mistral-sft-heat-333c1-hg6rc.318.1
- Xet hash:
- f57a65c82b3bcdeb79a6bab2bd8d61d8abe1098ed51cdd32c8ebd09ee2fbea76
- Size of remote file:
- 354 Bytes
- SHA256:
- 6a08812bf12130bb9fc8b2bd93cf0a6d4b8609dc501e4a3d8bb1155b7417cfdc
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