Transformers
PyTorch
TensorFlow
JAX
Safetensors
t5
text2text-generation
generated_from_keras_callback
text-generation-inference
Instructions to use fabiochiu/t5-base-medium-title-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fabiochiu/t5-base-medium-title-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("fabiochiu/t5-base-medium-title-generation") model = AutoModelForSeq2SeqLM.from_pretrained("fabiochiu/t5-base-medium-title-generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c47d53fa9964f2ff48bbb88650bdcf6b2f19ac0a78ea3381e3219c224ce32a9
- Size of remote file:
- 892 MB
- SHA256:
- 7b6bdc7a3ea5878f7ac9e74623bfe834826c9567613d35545e574438c185a3d1
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