Instructions to use Ayham/robertagpt2_cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/robertagpt2_cnn with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/robertagpt2_cnn") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/robertagpt2_cnn") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a1eb784753622942dc8c0dd6bd3388d94950f19d5008e1dd1661ef87076ba21
- Size of remote file:
- 1.14 GB
- SHA256:
- 0e48daef5f243b955582414075a68e539c12b03c59b32ad6f500517553b3342b
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