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
- Xet hash:
- f793103585f5729329239aeb38fcdab736a7e09345e300547c4c5452204fac69
- Size of remote file:
- 5.5 kB
- SHA256:
- 01687fe13b6d2acb8aad42cae42ab3c27f8a0188559a24b4698d38478233a06e
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