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
heat_transfer_sft_10000_mcq_2epoch / runs /Jan16_00-20-03_ctua-mistral-sft-heat-333c1-hg6rc /events.out.tfevents.1736986825.ctua-mistral-sft-heat-333c1-hg6rc.1409.0
- Xet hash:
- 7be33b263ea5868066b13b4e0ebc29bdcd4e36239699f6b461559a4a52a3e979
- Size of remote file:
- 19.2 kB
- SHA256:
- aa9e6f7c9b6f671aa45909afe22b6a7e6a3b3e341eb89a548bf39a37e779f7b7
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