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
Multilingual powerhouse — testing for mobile deployment
1
#8 opened 5 days ago
by
3morixd
Is there a way to provide instruction?
1
#7 opened almost 3 years ago
by
vmajor
模型是不是少了vocab.txt文件
1
#6 opened about 3 years ago
by
linchun
Will the dataset be published?
1
#5 opened about 3 years ago
by
THEATLAS