Instructions to use TharinduCD/FSA-L4-Food with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use TharinduCD/FSA-L4-Food with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("TharinduCD/FSA-L4-Food", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d81c882a58e33b6571803bb158c18164e22f384866f9e642e9fd0ab7d95b7ccf
- Size of remote file:
- 2.5 GB
- SHA256:
- c85d4675650a6c8f2acd8d8913b0b8e04574c5acd36711c297cb31a7e30c211c
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