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:
- 8328db1720f4d424cbf12f2b3b9ca652d148a92f6bfc320c2c65cd18d1b7adab
- Size of remote file:
- 138 kB
- SHA256:
- 1e88f878d3ed3885c3990779b963be8a9df755be9a24bc0093e987cdf497b6c6
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