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

- Xet hash:
- f293f60cac2fa42bedac91c62f6a5cf32f4036a7a2b54354735c4068569d06e5
- Size of remote file:
- 107 kB
- SHA256:
- 5d9bbb8c6a0d59b0b527f8cfbfa93fbbb74ea9fe808540bbf81b177638849ddc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.