Instructions to use ScribsAI/bart-summarize-cnn-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ScribsAI/bart-summarize-cnn-onnx with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ScribsAI/bart-summarize-cnn-onnx") model = AutoModelForSeq2SeqLM.from_pretrained("ScribsAI/bart-summarize-cnn-onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download encoder_model.onnx from ScribsAI/bart-summarize-cnn-onnx: direct link, hf CLI and curl.
- Browser
- Download file 815 MB
-
https://huggingface.co/ScribsAI/bart-summarize-cnn-onnx/resolve/main/encoder_model.onnx
- Command line
-
hf download hf://ScribsAI/bart-summarize-cnn-onnx/encoder_model.onnx
-
curl -L -o encoder_model.onnx https://huggingface.co/ScribsAI/bart-summarize-cnn-onnx/resolve/main/encoder_model.onnx
815 MB
- Xet hash:
- 782bd3f912ca3af34b955afe252e7c74e9d6aefa47f9f93697009db92105c7a7
- Size of remote file:
- 815 MB
- SHA256:
- a7b0f1c0a7de98749bbafc2360fba831736a20af875a208307a28745f2dc51ed
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