Text Generation
fastText
Avaric
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-caucasian_northeast
Instructions to use wikilangs/av with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/av with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/av", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a25b8cb7b5a5966ea12bbc9d4f08b4ff2a2e3d4c3483a6b77a2ba406442da5d0
- Size of remote file:
- 1.04 GB
- SHA256:
- 52180d54d8a01ed8dc3b1895710307bdf710be093a465547504c72098c065d36
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.