Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use machinelearningzuu/lesson-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use machinelearningzuu/lesson-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("machinelearningzuu/lesson-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("machinelearningzuu/lesson-summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28582008f5ed31559e25d6ed7f3b2a0891103292bbb19dec81d309e11b8ab862
- Size of remote file:
- 4.09 kB
- SHA256:
- 54477975a1ab0fd3b0ad42fb2b70ebfdfa4619be1843299335a33f37b9e1f3f7
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