Instructions to use murali-admin/bart-billsum-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use murali-admin/bart-billsum-1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("murali-admin/bart-billsum-1") model = AutoModelForSeq2SeqLM.from_pretrained("murali-admin/bart-billsum-1") - Notebooks
- Google Colab
- Kaggle
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Model Trained Using AutoNLP
- Problem type: Summarization
- Model ID: 5691253
Validation Metrics
- Loss: 1.4430530071258545
- Rouge1: 23.9565
- Rouge2: 19.1897
- RougeL: 23.1191
- RougeLsum: 23.3308
- Gen Len: 20.0
Usage
You can use cURL to access this model:
$ curl -X POST -H "Authorization: Bearer YOUR_HUGGINGFACE_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoNLP"}' https://api-inference.huggingface.co/mohsenalam/autonlp-billsum-summarization-5691253
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