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:
- 4d0259ffea922435c359c321f83907004dbfe59650a86e219088f3a0ca17e231
- Size of remote file:
- 419 kB
- SHA256:
- 859219547495b56be5dce1bdecb7720a0a1839ec7a0821b22623ff9e2dc08750
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