Text Generation
fastText
Friulian
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-romance_galloitalic
Instructions to use wikilangs/fur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/fur with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/fur", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed4f661d593eedf6bc53451a8e398e1301d0cbc72b95f0a77f36f42be5319bf2
- Size of remote file:
- 1.38 MB
- SHA256:
- 05439ffde3e261a830121c66e05e83f6aa7480ce7db0e5f755c1098e6d2329a9
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