Instructions to use Howard881010/heat_transfer_sft_10000_mcq_f_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_f_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_f_1epoch") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae33ddb071bb1863d82b61fa8f02214385762a8d2744236675e539485807ecaf
- Size of remote file:
- 114 MB
- SHA256:
- d5e7c84c8cdbec83fe3908d5e37d47b4dc81a88de4ae7a29044f5dbe32ce20d7
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