Instructions to use mantrakp/bart-large-cnn-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mantrakp/bart-large-cnn-onnx with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mantrakp/bart-large-cnn-onnx") model = AutoModelForSeq2SeqLM.from_pretrained("mantrakp/bart-large-cnn-onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2391e1f6570fd23b949623badb9f62669a0b748db8a0f80bbee51566ca0b8ab9
- Size of remote file:
- 1.22 GB
- SHA256:
- ace1c96cc44f533ae223f5ebb9db35f4c5cf8e0592284e662c5bae667e06444d
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