Transformers
PyTorch
TensorFlow
JAX
t5
text2text-generation
generated_from_keras_callback
text-generation-inference
Instructions to use Soooma/titles_gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Soooma/titles_gen with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Soooma/titles_gen") model = AutoModelForSeq2SeqLM.from_pretrained("Soooma/titles_gen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95631a9424d7e8f741508f4994c017308565e21d1ee12bd7c596d9ea34f1be72
- Size of remote file:
- 892 MB
- SHA256:
- ebd31e554ba5c601e069ba99fb691676ab996100148ea1ebc23281bbbc293a63
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