Instructions to use SouthMemphis/t5-tiny_for_summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SouthMemphis/t5-tiny_for_summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SouthMemphis/t5-tiny_for_summarization") model = AutoModelForSeq2SeqLM.from_pretrained("SouthMemphis/t5-tiny_for_summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Training in progress epoch 1
e2d6f0b -
Training in progress epoch 0
e6ec2ec -
initial commit
e310f5d