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
Download knn_model_Model-L1-L3_K3_Euclidean_7T.joblib from SaeedLab/dom-formula-assignment-using-ml: direct link, hf CLI and curl.
- Browser
- Download file 4.11 MB
-
https://huggingface.co/SaeedLab/dom-formula-assignment-using-ml/resolve/main/knn_model_Model-L1-L3_K3_Euclidean_7T.joblib
- Command line
-
hf download hf://SaeedLab/dom-formula-assignment-using-ml/knn_model_Model-L1-L3_K3_Euclidean_7T.joblib
-
curl -L -o knn_model_Model-L1-L3_K3_Euclidean_7T.joblib https://huggingface.co/SaeedLab/dom-formula-assignment-using-ml/resolve/main/knn_model_Model-L1-L3_K3_Euclidean_7T.joblib
4.11 MB
- Xet hash:
- c7e67cd2be08d3601f549234cfdf96579cf25b9c91e07531869583415e79d13d
- Size of remote file:
- 4.11 MB
- SHA256:
- 63c537965fe3409fcca9e72657f28bb410e54f977388ded1239700dbecc9d4b4
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