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:
- 7449e6e9fc765b91a3b18fdcd9b685b304963b4aa10e99e5bf1a47ef211013ca
- Size of remote file:
- 372 kB
- SHA256:
- 459a81a949f0ff8f3d47561ad964d2c43ca0105097b338b8dffe1c99da487223
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