Instructions to use TharinduCD/FSA-L4-Beverage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use TharinduCD/FSA-L4-Beverage with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("TharinduCD/FSA-L4-Beverage", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01dafa7e10e4ab829a32ece57343a4761e8f6011dca2107fd6024e145ca8596a
- Size of remote file:
- 2.42 GB
- SHA256:
- 26b08e3d1df7212d18d9c035b315b5c7d9423553b55d583462621ecb74b6b24a
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