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

- Xet hash:
- 6f685596908d3f1ed4bdca78ed3ba87862d7733af1b15d1a840e3c979eb85500
- Size of remote file:
- 108 kB
- SHA256:
- b5611281d31e8b0d2b5bc1b72173025a6d1d482b1bea4a540581b05e86efcc0e
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