Instructions to use Sonia2k5/Number_to_words with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Sonia2k5/Number_to_words with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Sonia2k5/Number_to_words", "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
Commit History
-
Rename app (5).py to app .py
Verified signatureb3fecfa -
Upload 2 files
Verified signature79e92a4
-
Update README.md
Verified signaturebc29722 -
Update README.md
Verified signature8a2ad21 -
Delete keras_label_encoder.joblib
Verified signature031129a -
Update README.md
Verified signature3eda752 -
Upload Number_to_word_model.pkl
Verified signature7e40ff2 -
Delete number_to_word_model.h5
Verified signatured7c4e00 -
Upload keras_label_encoder.joblib
Verified signature07e10fb -
Delete keras_label_encoder.joblib
Verified signature3374222 -
Upload number_to_word_model.h5
Verified signature5d8bfe5 -
Delete numbers.h5
Verified signature701276a -
Upload keras_label_encoder.joblib
Verified signature7299df9 -
Update tokenizer.json
Verified signaturea5455cd -
Update config.json
Verified signaturefeef70a -
Upload 3 files
Verified signature465d67f -
initial commit
Verified signature244fd62