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
- Xet hash:
- d88a3214c6331aaa67eec4bc95f004ccba7ccea81fa43f09ccfbde93aa30b548
- Size of remote file:
- 2.14 MB
- SHA256:
- ff095485964d3a8490812e8035865a9831999fc1dde313901c12e71ed1334c10
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.