Scikit-learn
Joblib
dom_ml
mass-spectrometry
molecular-formula
dissolved-organic-matter
machine-learning
scikit-learn
custom_code
Instructions to use SaeedLab/dom-formula-assignment-using-ml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use SaeedLab/dom-formula-assignment-using-ml with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("SaeedLab/dom-formula-assignment-using-ml", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5299cb16427b142d94cdd8f454bdfcf12d52e682611beef022dccc0d973b8593
- Size of remote file:
- 7.74 MB
- SHA256:
- 8cb77b4ea59fe29f3de046bd86e42c72931957580f11be406724602537b3cafe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.