Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use paulh27/xsum_aligned_smallT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulh27/xsum_aligned_smallT5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("paulh27/xsum_aligned_smallT5") model = AutoModelForSeq2SeqLM.from_pretrained("paulh27/xsum_aligned_smallT5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd53596d8b5e1a86578b62869d1bb858f54831f291a279bba2a8bfa3db9ad0bc
- Size of remote file:
- 242 MB
- SHA256:
- 7b52c60f3e55e76548b50fa3b55a24ce7bb0e465ac979bdfa97c0187299b469b
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