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:
- bf97ab2217e6b782456da1fae9026bae9592df44d5914bf35872e8e79c1dc6c5
- Size of remote file:
- 659 kB
- SHA256:
- bc10045e4b723d2ed42bbc7f7737fc176c7bbef614c121acd5b5fc4ae0e613d5
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