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:
- 749cdbac170a95d8b99d2088d26f20f66c890c31901eb7dfc97e03be579490e3
- Size of remote file:
- 242 MB
- SHA256:
- e2a6b1bab5116979eda441fe9f03bff810a664774c7e79d66ea304ca1de83d3f
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