Text Generation
fastText
Bavarian
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-germanic_west_continental
Instructions to use wikilangs/bar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/bar with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/bar", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- ff23e1201a2564299e55b81462d1598ea00ac25fa737b381567e7688b313271c
- Size of remote file:
- 145 kB
- SHA256:
- eac15b4cda6104f170fa7edf72ed6ae2b5304f1665609a954e989066b3a02ecc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.