Instructions to use te-sla/FastTextSr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use te-sla/FastTextSr with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("te-sla/FastTextSr", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download TeslaFT.wv.vectors_ngrams.npy from te-sla/FastTextSr: direct link, hf CLI and curl.
- Browser
- Download file 800 MB
-
https://huggingface.co/te-sla/FastTextSr/resolve/main/TeslaFT.wv.vectors_ngrams.npy
- Command line
-
hf download hf://te-sla/FastTextSr/TeslaFT.wv.vectors_ngrams.npy
-
curl -L -o TeslaFT.wv.vectors_ngrams.npy https://huggingface.co/te-sla/FastTextSr/resolve/main/TeslaFT.wv.vectors_ngrams.npy
800 MB
- Xet hash:
- 13d00a22f7d8d6186cefc1dc11b7fbfab6c7e8bdbc465d0b4b880e3c2e8d893b
- Size of remote file:
- 800 MB
- SHA256:
- a76d61b79eae46dc1fad34477919ec601d9ef2f76ae3ea1427c1d6e12e32c3e5
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