Instructions to use Howard881010/epidemiology_sft_10000_mcq_u_1epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Howard881010/epidemiology_sft_10000_mcq_u_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/epidemiology_sft_10000_mcq_u_1epoch") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cc70c61facb9c9e4e395024fc3072acb32ec3620da2ecb86a634f2e916a7bc2
- Size of remote file:
- 5.43 kB
- SHA256:
- 1953d1ec3706f1ae90fd4a711244fa77dd5bcf8c5e0658c6dee454a0e6cc3097
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