Instructions to use Jnx03/kanitakorn-260614-mnemo2d-mnemo2d-best180-evalfailure-step40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jnx03/kanitakorn-260614-mnemo2d-mnemo2d-best180-evalfailure-step40 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-mnemo2d-mnemo2d-best180-evalfailure-step40") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69f619e7de9010fffdbc12931cf24489d10f37b12002445bb1fba35a0e0404c0
- Size of remote file:
- 5.71 kB
- SHA256:
- d3b57e16e43254a331207bd5249359552ab325cf35ff95b3416e74640f7d8192
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