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.1736980852.ctua-mistral-sft-heat-333c1-hg6rc.318.0
- Xet hash:
- f2057c8448970ec04f0fa403e36532ed57b0b02907b8b031851429d2c6e7ae50
- Size of remote file:
- 8.76 kB
- SHA256:
- 027cc5a95d57175d717f2e13f62a904c1541920e6ef4eb1e3373ffb5ad4858a2
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