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:
- 1ff36696a81f7c8b21e5b96414900410d23e8396307008eea07630bcfbc19d83
- Size of remote file:
- 704 kB
- SHA256:
- 24acf8b217aa85ca6bea00eda471814586f5f4d2dc00a1360362dd9309b10d2d
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