Instructions to use vinai/bartpho-word with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinai/bartpho-word with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="vinai/bartpho-word")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("vinai/bartpho-word") model = AutoModel.from_pretrained("vinai/bartpho-word", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9641f773fb5f12314cc00cb7830951a10364f0cc9c3b7c2e64dfbe847d2cde1
- Size of remote file:
- 1.68 GB
- SHA256:
- da9fbaf7d7dece30ed0c664f8e7cfa91efde34b210198ab8a0350ace38a86186
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