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:
- 93f4fbf52bce8f38f50ce8326391c6dc62fc157ed4aabb4e32f9acee87e1cb71
- Size of remote file:
- 401 kB
- SHA256:
- d30e32ea3729c6a595cca692d41fd38620599fcd40e04812db073ee28a534609
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