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

- Xet hash:
- 4fae8aa6290081a451673c706ce13fee6c60f53ae92f089d8d0cc58cdd1a053d
- Size of remote file:
- 246 kB
- SHA256:
- f13a4cee4655f3919bcb6e6015c295038282fa62b2c5dd3f588e1d696b4d5d83
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.