Instructions to use tomvoelker/gpt22gpt2-gpt2-medium-cnn-dailymail-seed42_std_paper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tomvoelker/gpt22gpt2-gpt2-medium-cnn-dailymail-seed42_std_paper with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tomvoelker/gpt22gpt2-gpt2-medium-cnn-dailymail-seed42_std_paper") model = AutoModelForSeq2SeqLM.from_pretrained("tomvoelker/gpt22gpt2-gpt2-medium-cnn-dailymail-seed42_std_paper", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 358e6322b19e3bdbac8447e318ca180aaeb99e259139bad758a3acf65cddb5c8
- Size of remote file:
- 5.56 kB
- SHA256:
- b468a8b911b76f590eda33a9a4ed651473d28f33d8ed6bd5d5a6904b2b91cc36
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