Transformers
PyTorch
TensorFlow
JAX
Safetensors
t5
text2text-generation
generated_from_keras_callback
text-generation-inference
Instructions to use fabiochiu/t5-small-medium-title-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fabiochiu/t5-small-medium-title-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("fabiochiu/t5-small-medium-title-generation") model = AutoModelForSeq2SeqLM.from_pretrained("fabiochiu/t5-small-medium-title-generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5f2577969f5bf8ec18ea06ca08042969bef388119514eea4c9fdfe7f741844f
- Size of remote file:
- 242 MB
- SHA256:
- f7ba2dc0d7819e1823213c03327a6a36457de7f28326b8e038a91c96c59e978b
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