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/embedding_similarity.png from wikilangs/te: direct link, hf CLI and curl.
- Browser
- Download file 150 kB
-
https://huggingface.co/wikilangs/te/resolve/main/visualizations/embedding_similarity.png
- Command line
-
hf download hf://wikilangs/te/visualizations/embedding_similarity.png
-
curl -L -o embedding_similarity.png https://huggingface.co/wikilangs/te/resolve/main/visualizations/embedding_similarity.png
150 kB

- Xet hash:
- 7a24f5038d2f99db69f5785147ec23b5c5581cc6de964c5d1aca76b24402f193
- Size of remote file:
- 150 kB
- SHA256:
- 8b5e10bb4164e602231f6d1e05166688e9827eb163583e6a6a72139bd9efc872
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