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.1736994900.ctua-mistral-sft-heat-333c1-hg6rc.1409.1
- Xet hash:
- 2691f347ce79aab4c87a0e88aad90e03a24c5fab8def5d60fe70798ccc156f54
- Size of remote file:
- 359 Bytes
- SHA256:
- dec3c0e0fdcaa787c55dd82bd79228e8be2e3a60e2aaf5eee1b79984725f2d4a
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