Instructions to use paulh27/cnn_aligned_smallT5_iter1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulh27/cnn_aligned_smallT5_iter1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("paulh27/cnn_aligned_smallT5_iter1") model = AutoModelForSeq2SeqLM.from_pretrained("paulh27/cnn_aligned_smallT5_iter1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd4a875f35f6ca77a5f1dd735dddabc23728d0f821dc832d316ff36e55b158b7
- Size of remote file:
- 5.18 kB
- SHA256:
- 2e07ac03af53c61ae9f3c3278563ba419776241e15c0decff8d3cac8647ddd13
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