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:
- 428d8489cd55c2aac76e4243a648d8f4b0f0b0a76e7765c178ae5881c44e8261
- Size of remote file:
- 107 kB
- SHA256:
- aeab07fe9222dec20e65a5c7e20cf582e146117596f2cfbced489ab9e9b6c434
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