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:
- 3fb3b6b58de251b5945bd7105b05546cb2eca8a051c3e180a4b9d5e5afc35c92
- Size of remote file:
- 106 kB
- SHA256:
- 53feab470465721551272d6be4807feef703a30c8284328b48389957296ec5e3
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