Instructions to use Serj/text-summarization-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Serj/text-summarization-onnx with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Serj/text-summarization-onnx") model = AutoModelForMultimodalLM.from_pretrained("Serj/text-summarization-onnx") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e069285963cab46ff66b49959c9337510d0e89470a60c7a64e90a31f0a4d1d0
- Size of remote file:
- 35.5 MB
- SHA256:
- a4ce7d223b2a6e3992e83d1b338192b8ff86bcf3bf94ad9bc1bf42a42369e396
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