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
- Xet hash:
- 8662be909bf7fbfd40f29af06d0647e326a8d96f04843ad82189d9de351db69a
- Size of remote file:
- 846 kB
- SHA256:
- 6e78beef37ef47c219fa4eb9a5a1a4190325e01537fa6a5973e51f50cdf02ed8
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