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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download sample_input.pkl from murali-admin/bart-billsum-1: direct link, hf CLI and curl.
- Browser
- Download file 155 kB
-
https://huggingface.co/murali-admin/bart-billsum-1/resolve/main/sample_input.pkl
- Command line
-
hf download hf://murali-admin/bart-billsum-1/sample_input.pkl
-
curl -L -o sample_input.pkl https://huggingface.co/murali-admin/bart-billsum-1/resolve/main/sample_input.pkl
155 kB
- Xet hash:
- 6e74489a599523dfcc39ac09fdb707b7d647bd86609a3eeaa913cdcaf613feb7
- Size of remote file:
- 155 kB
- SHA256:
- 8adf0aac3c22f864a65405da86274a38155d580e76a26705e0ead95d4c6bad6d
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