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:
- da65592d1cf0204fbf6cae80e368ddaab246111c7eb2f8ab4f5214cfd2975563
- Size of remote file:
- 143 kB
- SHA256:
- 968072eaba3f04a059c4c9d85a9a8c5a0b1f3413b05b91b4fab695e2bfe971dc
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