Text Generation
fastText
Arpitan
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_galloitalic
Instructions to use wikilangs/frp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/frp with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/frp", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/position_encoding_comparison.png from wikilangs/frp: direct link, hf CLI and curl.
- Browser
- Download file 118 kB
-
https://huggingface.co/wikilangs/frp/resolve/main/visualizations/position_encoding_comparison.png
- Command line
-
hf download hf://wikilangs/frp/visualizations/position_encoding_comparison.png
-
curl -L -o position_encoding_comparison.png https://huggingface.co/wikilangs/frp/resolve/main/visualizations/position_encoding_comparison.png
118 kB

- Xet hash:
- d4df334b62544d9e01089012044af4e8f1450ca4e48d3b9cc09971c74f2abe50
- Size of remote file:
- 118 kB
- SHA256:
- 63cc627ef306fa2b998f6975fbd911df92640f8bfef75db20329e7471bdc6339
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