Instructions to use Ayham/bertgpt2_cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/bertgpt2_cnn with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/bertgpt2_cnn") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/bertgpt2_cnn") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7189c886614607b5efde2f17c4aece74752487da3024b0a200859e44276b760
- Size of remote file:
- 1.07 GB
- SHA256:
- a195f7468c27c00d3b0e08440f5471c6082bee4e9443289202d6a2c7d22d6552
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