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:
- f75653fba44df0851e7db3e1369a5eaa090fde817efae8d50e5ea95c56b43ed2
- Size of remote file:
- 500 kB
- SHA256:
- 97bf5579bbc66dcbe6fc17e03bf4d5f8933495928343c74dc11fc394a562cee4
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