Text Generation
fastText
Tamil
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
Instructions to use wikilangs/ta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ta with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ta", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_sentences.png from wikilangs/ta: direct link, hf CLI and curl.
- Browser
- Download file 287 kB
-
https://huggingface.co/wikilangs/ta/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/ta/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/ta/resolve/main/visualizations/tsne_sentences.png
287 kB

- Xet hash:
- b53700e7ddeee8f25a254409075c294dc965eccc55e58de91046b3381a923864
- Size of remote file:
- 287 kB
- SHA256:
- 54dfd0be9b68c00c6df5d1733f38579e0e514872e653aeebf1f641d4a6d832d7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.