Instructions to use lastcode/pyrolysis-distillation-predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use lastcode/pyrolysis-distillation-predictor with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("lastcode/pyrolysis-distillation-predictor", "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:
- a857cd997e1577418d975826f525012dc6228bfdadd96d0117e8196da6bdd722
- Size of remote file:
- 3.18 kB
- SHA256:
- 9b4d4fcdd3efc5cd219d413d3de79fb7be5caa2b490ad447788b2464d6da2222
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