Summarization
Transformers
TensorBoard
ONNX
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use JohnDoe70/t5-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JohnDoe70/t5-summarization with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="JohnDoe70/t5-summarization")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JohnDoe70/t5-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("JohnDoe70/t5-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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update onnx quantized model files. use 13.1 version
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Add onnx quantized model files
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Training complete with full dataset
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Training in progress, step 1000
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Training in progress, step 500
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initial commit
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