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
- Xet hash:
- ff856f9f0edbb49f1085b8d2e508cb7a27c219c4961cd26dbef087f85502f6de
- Size of remote file:
- 377 kB
- SHA256:
- 21c27d1babd8d3d3ba3e321a899c29795fc65fbc0ab8f53d8a343db40b9994b9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.