Instructions to use Jnx03/kanitakorn-260614-mnemo2b-mnemo2b-v13-fresh-step240 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jnx03/kanitakorn-260614-mnemo2b-mnemo2b-v13-fresh-step240 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, "Jnx03/kanitakorn-260614-mnemo2b-mnemo2b-v13-fresh-step240") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47458e35ab993a37300a781feb3fa1d8d5d900de261929ad0cd3683bb4cb2747
- Size of remote file:
- 5.65 kB
- SHA256:
- 53c7daeed8ee304ccce032a991a0e4e10e45b180225546b84db88ea25f4ab42f
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