Text Generation
fastText
Maithili
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/mai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/mai with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/mai", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 21975c2f24dc832d912ee916ad5c71bf5e8df899e25d0dea7312c3cfdabbfe0b
- Size of remote file:
- 388 kB
- SHA256:
- 55f4dba0c5f1f76c79efd614299c83e60679c8414287f712307368d70c092ae7
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