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yhavinga
/
t5-base-36L-ccmatrix-multi

Translation
Transformers
PyTorch
JAX
TensorBoard
Dutch
English
t5
text2text-generation
seq2seq
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use yhavinga/t5-base-36L-ccmatrix-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yhavinga/t5-base-36L-ccmatrix-multi 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="yhavinga/t5-base-36L-ccmatrix-multi")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("yhavinga/t5-base-36L-ccmatrix-multi")
    model = AutoModelForSeq2SeqLM.from_pretrained("yhavinga/t5-base-36L-ccmatrix-multi")
  • Notebooks
  • Google Colab
  • Kaggle
t5-base-36L-ccmatrix-multi
5.83 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 7 commits
Yeb Havinga
Autoupdate README.md
cbd4cc4 almost 4 years ago
  • .gitattributes
    1.22 kB
    initial commit about 4 years ago
  • README.md
    27.7 kB
    Autoupdate README.md almost 4 years ago
  • config.json
    1.16 kB
    Saving weights and log about 4 years ago
  • evaluation_t5_dutch_english.png
    36.3 kB
    Autoupdate README.md almost 4 years ago
  • events.out.tfevents.1650667398.t1v-n-ab5b8a40-w-0.78521.0.v2
    920 kB
    xet
    Save weights at end of training about 4 years ago
  • flax_model.msgpack
    2.92 GB
    xet
    Save weights at end of training about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    2.92 GB
    xet
    Save weights at end of training about 4 years ago
  • special_tokens_map.json
    1.79 kB
    Saving weights and log about 4 years ago
  • test_results.json
    308 Bytes
    Save weights at end of training about 4 years ago
  • tokenizer.json
    2.08 MB
    Saving weights and log about 4 years ago
  • tokenizer_config.json
    1.93 kB
    Saving weights and log about 4 years ago