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
Download visualizations/embedding_tsne_multilingual.png from wikilangs/th: direct link, hf CLI and curl.
- Browser
- Download file 220 kB
-
https://huggingface.co/wikilangs/th/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/th/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/th/resolve/main/visualizations/embedding_tsne_multilingual.png
220 kB

- Xet hash:
- aa0070628adc9a66724b4c263edf75a0707bc8e6f81a8c43757c2b47172c629f
- Size of remote file:
- 220 kB
- SHA256:
- d2f0c3a887542fe0cae923a926674ab83a4a471d0f9774baf8784640f3460c30
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