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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb2519e990ca2e1a38dd52185a6eabd93f44545ab63d3a4346219a2be8326494
- Size of remote file:
- 4.09 kB
- SHA256:
- 7b7c2529999b7c6953673d399a8f1888efd8fb238a3028b4b1d19a0ee11b4812
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