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:
- 32093fbf159646461f83c94615cc68c2aacadb490f495fcf7ae78bf83fa91bdb
- Size of remote file:
- 2.21 MB
- SHA256:
- 329ffe925fdabd74d6536e7c33fac4a9f071e2e3731892aad2d904e10c619af2
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