Instructions to use KalvinPhan/t5-base-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KalvinPhan/t5-base-cnn with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KalvinPhan/t5-base-cnn") model = AutoModelForSeq2SeqLM.from_pretrained("KalvinPhan/t5-base-cnn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f831d87932421bb558df9f22e6fd0a1d6101366f9ee53687a29fd630721a092a
- Size of remote file:
- 5.37 kB
- SHA256:
- 066d9e4561712e90f5c47a3d53c0564b5a824b2cdebdfb2ead152bf6bc3d1f65
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