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:
- 1a7376cd09b0a9ac95813ffb7b44e9bc2515002cb0bc92935b8bab304ba69d0a
- Size of remote file:
- 586 MB
- SHA256:
- 303699d4947c28912c1a463208cf6a78c5e40abab901de5d9e82ebd24338a7a6
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