Transformers
PyTorch
bart
text2text-generation
int8
Intel® Neural Compressor
neural-compressor
PostTrainingDynamic
Instructions to use Intel/bart-large-cnn-int8-dynamic-inc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/bart-large-cnn-int8-dynamic-inc with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Intel/bart-large-cnn-int8-dynamic-inc") model = AutoModelForSeq2SeqLM.from_pretrained("Intel/bart-large-cnn-int8-dynamic-inc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9db4f0340d857383575b13cf8a08bf89a4d6c39657f7c4e370404e19b1d08a41
- Size of remote file:
- 1.07 GB
- SHA256:
- cd1faa69fe290fa44f02159109c7d2f04f3dbdb8a8a603a87a0aea28c7e95032
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