Text Generation
fastText
Iban
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
Instructions to use wikilangs/iba with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/iba with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/iba", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/embedding_tsne_multilingual.png from wikilangs/iba: direct link, hf CLI and curl.
- Browser
- Download file 248 kB
-
https://huggingface.co/wikilangs/iba/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/iba/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/iba/resolve/main/visualizations/embedding_tsne_multilingual.png
248 kB

- Xet hash:
- 5a4a0d0939cf53b7511f84175bf5db4171ab3e178b151c06b035c3b83dd803d4
- Size of remote file:
- 248 kB
- SHA256:
- 503a0a3b1b6b50e2411ebf18bd391418807e78ac3228f39554c3333140176be0
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