Instructions to use paulh27/cnn_aligned_smallT5_cont2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulh27/cnn_aligned_smallT5_cont2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("paulh27/cnn_aligned_smallT5_cont2") model = AutoModelForSeq2SeqLM.from_pretrained("paulh27/cnn_aligned_smallT5_cont2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62980843c9d4c84e655354a5ef5bc0a2825413842734bc98f27d63c503ba9143
- Size of remote file:
- 5.11 kB
- SHA256:
- 3b73c47f7437ed3fbda25cfae27e64ec8f5f6d2d2ea9c8603357dc53c001e5af
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