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:
- 384eaf27f155bf960cfa056653c40be1d742d609740e40b932ed3717215af587
- Size of remote file:
- 5.11 kB
- SHA256:
- 72aa48bf320ee59ae01caae7fdde4fabf40fc54889b45e9b68808bb7848b0c5a
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