Instructions to use taskload/bart-cause-effect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taskload/bart-cause-effect with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("taskload/bart-cause-effect") model = AutoModelForSeq2SeqLM.from_pretrained("taskload/bart-cause-effect") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Bart for Cause-Effect Extraction
This model was created using by Taskload, a group led by Henry Leonardi for automating information extraction. To get involved contact me at leonardi.henry@gmail.com
cause_effect = pipeline("summarization", model="taskload/bart-cause-effect")
output = cause_effect("text: "+event, max_length=300, min_length=30, do_sample=False)
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