Summarization
Transformers
PyTorch
English
bart
text2text-generation
sagemaker
Eval Results (legacy)
Instructions to use philschmid/bart-base-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/bart-base-samsum 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="philschmid/bart-base-samsum")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("philschmid/bart-base-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("philschmid/bart-base-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (#2)
- Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (bfa5399e93645cec4accdf24b592ee729f4b3bf4) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>ed8aad5
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Add evaluation results on samsum dataset (#1)
- Add evaluation results on samsum dataset (1641ce08c58858b7757e7006f8e90afab049ae7b) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>807745b
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commit files to HF hub
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initial commit
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