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:
- 9d592ebb574e0156446a47b29acaa28ad53fcd76a66c87fc2a823d172926f27d
- Size of remote file:
- 687 kB
- SHA256:
- f22b947070e8eb4edcea8ea295ea2735c3b7a8e3de2f625fbd1fc18dbf6e6290
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