Instructions to use uclanlp/newsbart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/newsbart-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="uclanlp/newsbart-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("uclanlp/newsbart-base") model = AutoModel.from_pretrained("uclanlp/newsbart-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 916ca38ab43d767aacc8e46e1fedb28f8032d7dc887a182819d313871c3744fe
- Size of remote file:
- 561 MB
- SHA256:
- 7d86500973a4e7b4e223f68c5c342b7a3d6b8b4be7e195f7db36d12b4f8f6e0a
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