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
Download visualizations/tsne_sentences.png from wikilangs/am: direct link, hf CLI and curl.
- Browser
- Download file 263 kB
-
https://huggingface.co/wikilangs/am/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/am/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/am/resolve/main/visualizations/tsne_sentences.png
263 kB

- Xet hash:
- 531d487118df2993cb9ce7a6bcabd42cba1b05874741a125fffe892bf3be99f0
- Size of remote file:
- 263 kB
- SHA256:
- c57a33c2360a0890b1a80a8b86ef0e0c910b72a0936123dbb9602a5700f16143
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