Text Generation
fastText
Atikamekw
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-american_algonquian
Instructions to use wikilangs/atj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/atj with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/atj", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_sentences.png from wikilangs/atj: direct link, hf CLI and curl.
- Browser
- Download file 290 kB
-
https://huggingface.co/wikilangs/atj/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/atj/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/atj/resolve/main/visualizations/tsne_sentences.png
290 kB

- Xet hash:
- a7eff9c910ddd1abeaed9b137d90cd79a5bec9cc20f9fac94a76c23a2acf2752
- Size of remote file:
- 290 kB
- SHA256:
- 6102637fa8ff90adf8fb37643b60dc4ab87bc1c318158f87e45b4ee552039871
·
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