Text Generation
fastText
Telugu
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-dravidian_south_central
Instructions to use wikilangs/te with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/te with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/te", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/zipf_law.png from wikilangs/te: direct link, hf CLI and curl.
- Browser
- Download file 107 kB
-
https://huggingface.co/wikilangs/te/resolve/main/visualizations/zipf_law.png
- Command line
-
hf download hf://wikilangs/te/visualizations/zipf_law.png
-
curl -L -o zipf_law.png https://huggingface.co/wikilangs/te/resolve/main/visualizations/zipf_law.png
107 kB

- Xet hash:
- 46d5a18361cc060c15ad23165252067c62b9cb500d64cfd88ea5b22736b6fd4e
- Size of remote file:
- 107 kB
- SHA256:
- 62d5dcbcb167d90dca60dd0e81447e6586b0c9bd93da6cc13d28cfdc33c0c9ef
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