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altfreq
/
t5-small-temp

Translation
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Rust
ONNX
t5
text2text-generation
summarization
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use altfreq/t5-small-temp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use altfreq/t5-small-temp with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "translation" 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("translation", model="altfreq/t5-small-temp", device_map="auto")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("altfreq/t5-small-temp")
    model = AutoModelForSeq2SeqLM.from_pretrained("altfreq/t5-small-temp", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
t5-small-temp / onnx
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit

This model has 1 file scanned as unsafe.

altfreq's picture
altfreq
init
2d339f6 over 2 years ago
  • decoder_model.onnx
    232 MB
    xet
    init over 2 years ago
  • decoder_model_merged.onnx
    233 MB
    xet
    init over 2 years ago
  • decoder_model_merged_quantized.onnx
    58.7 MB
    xet
    init over 2 years ago
  • decoder_model_quantized.onnx
    58.4 MB
    xet
    init over 2 years ago
  • decoder_with_past_model.onnx
    220 MB
    xet
    init over 2 years ago
  • decoder_with_past_model_quantized.onnx
    55.2 MB
    xet
    init over 2 years ago
  • encoder_model.onnx
    141 MB
    xet
    init over 2 years ago
  • encoder_model_quantized.onnx
    35.5 MB
    xet
    init over 2 years ago