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_128d.bin from wikilangs/it: direct link, hf CLI and curl.
- Browser
- Download file 1.51 GB
-
https://huggingface.co/wikilangs/it/resolve/main/models/embeddings/aligned/it_128d.bin
- Command line
-
hf download hf://wikilangs/it/models/embeddings/aligned/it_128d.bin
-
curl -L -o it_128d.bin https://huggingface.co/wikilangs/it/resolve/main/models/embeddings/aligned/it_128d.bin
1.51 GB
- Xet hash:
- 3f8e1cc833671a5a5c615e59d84a62102eaed0d448d06af083a93a6fe16689df
- Size of remote file:
- 1.51 GB
- SHA256:
- a75f5744fd9b82c261724c57ca861ccb1390839eb3c86ac9201ec3af61ab8f33
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