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

- Xet hash:
- 0aab59fa9fadb912478037ec76da24e4d01525ee5ed54f11e49261c7045264ba
- Size of remote file:
- 279 kB
- SHA256:
- 6b295c742481868c95d1c235e10a1d1716cd7e294b3f4472a1a5d3935c7d6df1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.