Text Generation
fastText
Extremaduran
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-romance_iberian
Instructions to use wikilangs/ext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ext with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ext", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/position_encoding_comparison.png from wikilangs/ext: direct link, hf CLI and curl.
- Browser
- Download file 111 kB
-
https://huggingface.co/wikilangs/ext/resolve/main/visualizations/position_encoding_comparison.png
- Command line
-
hf download hf://wikilangs/ext/visualizations/position_encoding_comparison.png
-
curl -L -o position_encoding_comparison.png https://huggingface.co/wikilangs/ext/resolve/main/visualizations/position_encoding_comparison.png
111 kB

- Xet hash:
- 73501d51b4f6b884a8c533a58a735ddbcfbf05df6efa80f8cb317cb0fb62afb2
- Size of remote file:
- 111 kB
- SHA256:
- d95e06c6fdfaeb0343becbaa56f1be858b4c220fba15b0efcb0bf4c60d21fbdb
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