Text Generation
fastText
Dotyali
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-indoaryan_central
Instructions to use wikilangs/dty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/dty with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/dty", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfe429c8fb19d6256bbeb83572cc7c566ddf16ed7d3e5e577d90e7df182cf4a9
- Size of remote file:
- 1.97 MB
- SHA256:
- b0a026123a9e7792b2cd1d6318fd304f76cff9a4df713cdcab5ab10a0f463914
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.