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_similarity.png from wikilangs/th: direct link, hf CLI and curl.
- Browser
- Download file 141 kB
-
https://huggingface.co/wikilangs/th/resolve/main/visualizations/embedding_similarity.png
- Command line
-
hf download hf://wikilangs/th/visualizations/embedding_similarity.png
-
curl -L -o embedding_similarity.png https://huggingface.co/wikilangs/th/resolve/main/visualizations/embedding_similarity.png
141 kB

- Xet hash:
- 0db6c20a2fcdfe0ef6b051e0d529685e924e572fee0f29a54026369986b06452
- Size of remote file:
- 141 kB
- SHA256:
- 8fd00043b70c3290b19818398be614a62e2d7116ce032d8a722c7be20930e1fd
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