Instructions to use TharinduCD/FSA-L1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use TharinduCD/FSA-L1 with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("TharinduCD/FSA-L1", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74a40d1bc4263760e2a6a2e64a7c1eb789b6b67a7bd3bdcc4a33bd6426eb1af6
- Size of remote file:
- 5.08 GB
- SHA256:
- 5168273637b9fbb9d640e575cf070ae3dfcc955b1d6ae132388e765d09ad45f2
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