Text Generation
fastText
Chuvash
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-turkic_other
Instructions to use wikilangs/cv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/cv with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/cv", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 618b8379db62165fa5ff0070c8a72e8bd4de074ecc445a49f173581b803860d6
- Size of remote file:
- 565 kB
- SHA256:
- 640e17b3c3cd055630d02fcfc5512991276e9037fb2a3e5d9930106f36d3504d
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