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osanseviero
/
t5-finetuned-test

Summarization
Transformers
PyTorch
JAX
Core ML
English
t5
text2text-generation
wikihow
t5-small
lm-head
seq2seq
pipeline:summarization
text-generation-inference
Model card Files Files and versions
xet
Community
5

Instructions to use osanseviero/t5-finetuned-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use osanseviero/t5-finetuned-test 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="osanseviero/t5-finetuned-test")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("osanseviero/t5-finetuned-test")
    model = AutoModelForSeq2SeqLM.from_pretrained("osanseviero/t5-finetuned-test", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
t5-finetuned-test / coreml /seq2seq-lm /encoder_float32_model.mlpackage /Data
142 MB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 1 commit
osanseviero's picture
osanseviero
Add Core ML conversion (#2)
08a2a2f over 3 years ago
  • com.apple.CoreML
    Add Core ML conversion (#2) over 3 years ago