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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 150ea2e26d1114ab9047c3e083f5449306d8c80956d8f340c23871f090b39780
- Size of remote file:
- 5.18 kB
- SHA256:
- c22fbef9763c49b795bc4b1e53f864a3b371ab1a5ddaca38f4a5233141f99af8
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