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

- Xet hash:
- b4d59f3d05e66abffa58f6df221755baeccc79a5b0f8f9f0468cf26764853f98
- Size of remote file:
- 118 kB
- SHA256:
- 16d0a26e823193e62af734fc6104d904f0f96355d2d8c4a0c91ae75e244ad610
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