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

- Xet hash:
- 783bff910e57cdd4dce430cc67c4b0e38b310eb386b28712941bce536db70a32
- Size of remote file:
- 120 kB
- SHA256:
- 13966cb7d13721251dd4c370030a87661d5326f6d295e045c384d5009d86b39d
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