Text Generation
fastText
Italian
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/it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/it with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/it", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download models/embeddings/aligned/it_64d.bin from wikilangs/it: direct link, hf CLI and curl.
- Browser
- Download file 761 MB
-
https://huggingface.co/wikilangs/it/resolve/main/models/embeddings/aligned/it_64d.bin
- Command line
-
hf download hf://wikilangs/it/models/embeddings/aligned/it_64d.bin
-
curl -L -o it_64d.bin https://huggingface.co/wikilangs/it/resolve/main/models/embeddings/aligned/it_64d.bin
761 MB
- Xet hash:
- 37250c64a6f06cf4ef0c3715a6837e347aebba8691fc760d51b8f92d4cd3d487
- Size of remote file:
- 761 MB
- SHA256:
- 0e81e9c0b416f6f4cb9f371c0dc02e7825ad723ea0e4ddac03a75bda79ff5454
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