Instructions to use Howard881010/heat_transfer_sft_10000_mcq_a_1epoch 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_a_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_10000_mcq_a_1epoch") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 035d2cb219082700d189f87c656b1316a0b61969c828342d5af2caaddafb51e5
- Size of remote file:
- 5.5 kB
- SHA256:
- b15c41e4f53479d5565fd8dd12cbb6604488d9fd4a4fc9fa024fc97f190279f3
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