Instructions to use FarnetAI/dehkhoda2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use FarnetAI/dehkhoda2vec with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("FarnetAI/dehkhoda2vec", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aaa94123283b66c1349b77d6ecfbb1a9dd14f9c8abd4dd9a20c926c2676277e2
- Size of remote file:
- 1.61 GB
- SHA256:
- e4264619725fad505cda221cfc5c3c621033f4e711306066a66e47deb61ac5ce
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.