Text Generation
fastText
Thai
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-taikadai_southwestern
Instructions to use wikilangs/th with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/th with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/th", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e758d5b99704389b113b25ba3ac3fce6f034e4e8727e6ec90d2dde483a9fe91
- Size of remote file:
- 1.97 MB
- SHA256:
- 43b740523f25f695c94ba5d474ac068f42a4dd6adf397bfc22bf250b9c442e95
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.