Text Generation
fastText
Standard Moroccan Tamazight
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/zgh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/zgh with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/zgh", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- b3c3179a255072c4e99b9226e556a2580da0508797734dcf141fb74bf918c86e
- Size of remote file:
- 613 kB
- SHA256:
- b818589576d76d6673c8b69244702d85afb6ce24bbdc812a57499d4688c3235d
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