Instructions to use voidful/bart-base-unit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/bart-base-unit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="voidful/bart-base-unit")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("voidful/bart-base-unit") model = AutoModel.from_pretrained("voidful/bart-base-unit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 994891b8ed5dd2076dcd35d49ee315a2d872ff0a364fb86cb0737a168eb37443
- Size of remote file:
- 586 MB
- SHA256:
- 20705448590ccdff7342a8fc094fe8da3d59dc4ae2229ab30ecbf7096fc0224b
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