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")# 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") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
Adding `safetensors` variant of this model (#4) 4419181
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (#2) 5a1b512
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initial model upload 8318f97
human-centered commited on