Summarization
Transformers
Safetensors
English
bart
text2text-generation
movies
books
quotes
quote-detection
extractive
Instructions to use ChrisBridges/bart-base-quotes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChrisBridges/bart-base-quotes with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="ChrisBridges/bart-base-quotes")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ChrisBridges/bart-base-quotes") model = AutoModelForSeq2SeqLM.from_pretrained("ChrisBridges/bart-base-quotes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 310a9911487f1e7f933dd12cc1f36fe46c6153ba1a48c23b9332af44b1c716f3
- Size of remote file:
- 1.12 GB
- SHA256:
- 7ac2633a6a256998154bf60b13cb374cd6e5cf0d08fa501b3219634e08666bb1
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