Text Generation
fastText
Mossi
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-atlantic_gur
Instructions to use wikilangs/mos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/mos with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/mos", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6dc6a07026b0ec9e928c0f51c0ac722ce79b71c8ea01a4a8d8bcce6b916a7948
- Size of remote file:
- 371 kB
- SHA256:
- 4a48c14ae69a77e489b61fb8da142ad5518bc00db1c62c5dc3a498f05b2b4840
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