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:
- 6e949de4c3e98219943b8ff85be1f2c2273f58f0e5912c0ab3ccb2386c27a813
- Size of remote file:
- 416 kB
- SHA256:
- 0068688aa872de29ed102b4ca711733c395372a65aa62e94e88501645c2756e5
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