Text Generation
fastText
Breton
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-celtic_brythonic
Instructions to use wikilangs/br with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/br with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/br", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c7b041dee0a30081cd7a4b9a672ff3e1f9204049dee4cdde684ff586e57efbb
- Size of remote file:
- 371 kB
- SHA256:
- 416bd093915a7ce9b3d37f55d4e6f19b655bc9cb93ca1ad42e442fda1839cb70
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.