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:
- 5b6e553c57d27e82f71c495dad43127de22d63faa71496ee99c553912e2a06a1
- Size of remote file:
- 105 kB
- SHA256:
- 9038379d0278eecfbee031e16ae6d02da795ee85f511cc36d368019d6f4bffba
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