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:
- ddedb88067342cd360e556b630eab0f0e7e62c91e8dee177318d3588cd2f5718
- Size of remote file:
- 1.59 MB
- SHA256:
- 961377d69eb3cec24c9c718382b0b467b9a1afa24c2dc238af1e0fa8ea2122c9
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