Text Generation
fastText
Sylheti
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-indoaryan_eastern
Instructions to use wikilangs/syl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/syl with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/syl", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/zipf_law.png from wikilangs/syl: direct link, hf CLI and curl.
- Browser
- Download file 106 kB
-
https://huggingface.co/wikilangs/syl/resolve/main/visualizations/zipf_law.png
- Command line
-
hf download hf://wikilangs/syl/visualizations/zipf_law.png
-
curl -L -o zipf_law.png https://huggingface.co/wikilangs/syl/resolve/main/visualizations/zipf_law.png
106 kB

- Xet hash:
- b11c9126db220456ffa1cfa61a80c8ec6c5148527aba2cdcd42cfa54e38408fd
- Size of remote file:
- 106 kB
- SHA256:
- 285bdeef218eb5ec8b204df8e3cd7d553ffa379b90f877f7888088cdc74ac5f1
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