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laituan245
/
molt5-base

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

Instructions to use laituan245/molt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use laituan245/molt5-base with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("laituan245/molt5-base")
    model = AutoModelForSeq2SeqLM.from_pretrained("laituan245/molt5-base")
  • Notebooks
  • Google Colab
  • Kaggle
molt5-base
994 MB
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  • 1 contributor
History: 12 commits
laituan245's picture
laituan245
Update README.md
7f2da6b about 4 years ago
  • .gitattributes
    1.17 kB
    initial commit about 4 years ago
  • README.md
    528 Bytes
    Update README.md about 4 years ago
  • config.json
    699 Bytes
    Upload config.json about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    990 MB
    xet
    Upload pytorch_model.bin with git-lfs about 4 years ago
  • special_tokens_map.json
    1.79 kB
    Upload special_tokens_map.json about 4 years ago
  • spiece.model
    792 kB
    xet
    Upload spiece.model with git-lfs about 4 years ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer.json about 4 years ago
  • tokenizer_config.json
    2.13 kB
    Upload tokenizer_config.json about 4 years ago