Text Generation
fastText
Extremaduran
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_iberian
Instructions to use wikilangs/ext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ext with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ext", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a71df5c2dfd332f56fab3dfc9bebc75466a7992cfab95cc28eec3ee0e317cb0
- Size of remote file:
- 1.38 MB
- SHA256:
- 8d773e4f727481a046f6214e5603319735bb0b82d709d3157254d7b6e9dc9250
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.