Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use adasnew/t5-small-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adasnew/t5-small-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("adasnew/t5-small-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("adasnew/t5-small-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- efa7882c2d7e0886d953243d42bc2682c38f88486905d8c8bc800a913ed49a27
- Size of remote file:
- 3.06 kB
- SHA256:
- f7e5647515d773cf494e4ca57b464248d4903d2a2228ff2fe9931dc9266f335d
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