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:
- e70bf835d72662db463e801f42b773adc610ed0b8f6a7df21968a32c4ca133c7
- Size of remote file:
- 242 MB
- SHA256:
- 152b901dea76c64fa04f630d4eceef5d7b84a371f5049bf6105c7ea84b92dae6
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