Text Generation
fastText
Venetian
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/vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/vec with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/vec", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1368af1cd474ce53d1d24d2b9d99baeab8949d554224482827678b9d4f3c3d8b
- Size of remote file:
- 1.35 MB
- SHA256:
- bdee8b49e78ae3fb59b6175567149d2a1abdf9440120e9c1579ec9053b38dc9f
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