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:
- 311bb5692dd48d99ec7c0abc9a45e26ae4811f7d5d1c9baaee30e8213bbc5016
- Size of remote file:
- 5.18 kB
- SHA256:
- 0777982f3fadc6a9d4720c04975c26b6e7b4b43b3885466438837cea3c6ef994
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