Text Generation
fastText
Tai Nüa
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-taikadai_other
Instructions to use wikilangs/tdd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/tdd with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/tdd", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_sentences.png from wikilangs/tdd: direct link, hf CLI and curl.
- Browser
- Download file 247 kB
-
https://huggingface.co/wikilangs/tdd/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/tdd/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/tdd/resolve/main/visualizations/tsne_sentences.png
247 kB

- Xet hash:
- 23591c73141a4ae61475787a408a3bb025ebf2170bdb8b1b4c83c2f51fc5e8ff
- Size of remote file:
- 247 kB
- SHA256:
- f76d6ee22b544e98706e12585446101b60ab5f3eb06b5343f830cbd9f031e973
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