Instructions to use claudios/plbart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use claudios/plbart-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="claudios/plbart-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("claudios/plbart-base") model = AutoModel.from_pretrained("claudios/plbart-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca99bed03e2d4877a8b2f874111caee0aaec8a692792eea13cd8463e72282907
- Size of remote file:
- 557 MB
- SHA256:
- 05291aee3a2674667c19bb19c68f24ac5184355d5bd71ed41a2bb7aef68e4b58
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