Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use paulh27/xsum_aligned_smallT5_full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulh27/xsum_aligned_smallT5_full with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("paulh27/xsum_aligned_smallT5_full") model = AutoModelForSeq2SeqLM.from_pretrained("paulh27/xsum_aligned_smallT5_full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e071dc8c7cf02d502cad71d1820fead4a572dbe31d4b89ec63d6bb4907719cf2
- Size of remote file:
- 242 MB
- SHA256:
- d4fcf2d3b5e05e9cf52710224e368d0486b47776ac79a6507e2308079df3f079
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