Summarization
Transformers
PyTorch
TensorFlow
Safetensors
English
pegasus
text2text-generation
Eval Results (legacy)
Instructions to use human-centered-summarization/financial-summarization-pegasus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use human-centered-summarization/financial-summarization-pegasus 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="human-centered-summarization/financial-summarization-pegasus")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("human-centered-summarization/financial-summarization-pegasus") model = AutoModelForSeq2SeqLM.from_pretrained("human-centered-summarization/financial-summarization-pegasus", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#4)
- Adding `safetensors` variant of this model (d729de67fbd395084bd74c5a7d45cd439ee88478) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>4419181
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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 (2876f6f6d18a49e19585f1a82e15088d35ed171d) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>5a1b512
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- Add evaluation results on xsum dataset (9823a7f2563c70131852de10786dd8414802d160) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>a720f82
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