Instructions to use TharinduCD/FSA-L2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use TharinduCD/FSA-L2 with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("TharinduCD/FSA-L2", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3298ebc3be271faa41ac5612ba210e682c47da1ff9f68984f7f27a45b65916d2
- Size of remote file:
- 5.08 GB
- SHA256:
- fc9f2e5eb26f238cb2725ba9c0df6215989b650fa8f21b0b63145fbdbc1a42fd
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