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mimi33
/
tiny30M_JGLUE_tuning

Transformers
PyTorch
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use mimi33/tiny30M_JGLUE_tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mimi33/tiny30M_JGLUE_tuning with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("mimi33/tiny30M_JGLUE_tuning")
    model = AutoModelForSeq2SeqLM.from_pretrained("mimi33/tiny30M_JGLUE_tuning")
  • Notebooks
  • Google Colab
  • Kaggle
tiny30M_JGLUE_tuning
129 MB
Ctrl+K
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  • 1 contributor
History: 7 commits
mimi33's picture
mimi33
Upload tokenizer_config.json with huggingface_hub
a468027 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    802 Bytes
    Upload config.json with huggingface_hub over 2 years ago
  • generation_config.json
    142 Bytes
    Upload generation_config.json with huggingface_hub over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    129 MB
    xet
    Upload pytorch_model.bin with huggingface_hub over 2 years ago
  • special_tokens_map.json
    416 Bytes
    Upload special_tokens_map.json with huggingface_hub over 2 years ago
  • spiece.model
    777 kB
    xet
    Upload spiece.model with huggingface_hub over 2 years ago
  • tokenizer_config.json
    882 Bytes
    Upload tokenizer_config.json with huggingface_hub over 2 years ago