Text Generation
fastText
Tachelhit
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-berber
Instructions to use wikilangs/shi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/shi with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/shi", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- b40ca0eeb67db612655f22247b7833e2db15eb8305860de84a6805ad4375d99c
- Size of remote file:
- 101 kB
- SHA256:
- cf1068fce38d0e48318cce13e7402ecc236c9a7855cb83bc26202eee4fdf44c0
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