Text Generation
fastText
Tagalog
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-austronesian_philippine_central
Instructions to use wikilangs/tl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/tl with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/tl", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- f3073ba05dea4a300b8211a9115f58c208f5c230c1b6f23b898424e8bcdbdfcb
- Size of remote file:
- 678 kB
- SHA256:
- 204d99887e82716227aa3f48466d20edb60e0464e3c32df11b43c550bd6bf005
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.