Summarization
Transformers
PyTorch
TensorBoard
Safetensors
English
bart
text2text-generation
Eval Results (legacy)
Instructions to use JustinDu/BARTxiv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JustinDu/BARTxiv 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="JustinDu/BARTxiv")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JustinDu/BARTxiv") model = AutoModelForSeq2SeqLM.from_pretrained("JustinDu/BARTxiv") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#16
by librarian-bot - opened
README.md
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- summarization
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- bart
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datasets: ccdv/arxiv-summarization
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model-index:
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- name: BARTxiv
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results:
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- summarization
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- bart
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datasets: ccdv/arxiv-summarization
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base_model: facebook/bart-large-cnn
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model-index:
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- name: BARTxiv
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results:
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