Transformers
PyTorch
bart
text2text-generation
int8
Intel® Neural Compressor
neural-compressor
PostTrainingDynamic
Instructions to use Intel/distilbart-cnn-12-6-int8-dynamic-inc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/distilbart-cnn-12-6-int8-dynamic-inc with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Intel/distilbart-cnn-12-6-int8-dynamic-inc") model = AutoModelForSeq2SeqLM.from_pretrained("Intel/distilbart-cnn-12-6-int8-dynamic-inc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a770c38a72215ad27988f26be610fca111c2516c6ebc57cafb647881b72ede36
- Size of remote file:
- 722 MB
- SHA256:
- fa4aa0243d293206d07d131004a1822cb54f3e2cb72632054f852918e9cea552
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