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:
- 109a0c4679f0851a8c787afae9625a7a72ce42e51ab12143f8da37b38f46f714
- Size of remote file:
- 116 kB
- SHA256:
- d11b8fa69c395d4f49e5e8cc05a58df8acd42c564aa67b8470ec8e646f4b3b43
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