Instructions to use vinai/bartpho-syllable with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinai/bartpho-syllable with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="vinai/bartpho-syllable")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("vinai/bartpho-syllable") model = AutoModel.from_pretrained("vinai/bartpho-syllable", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from vinai/bartpho-syllable: direct link, hf CLI and curl.
- Browser
- Download file 2.83 MB
-
https://huggingface.co/vinai/bartpho-syllable/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
-
hf download hf://vinai/bartpho-syllable@refs/pr/2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/vinai/bartpho-syllable/resolve/refs%2Fpr%2F2/tokenizer.json
2.83 MB
- Xet hash:
- 39f0ea048308510d6c0aada723fddedee4cd39d564ea39f13d1514ac46182429
- Size of remote file:
- 2.83 MB
- SHA256:
- 9bb659f0ee7adf8ae37c37123c5cfec648a41060cf1abd1d1139adc2c1e731b9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.