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VladimML
/
mt5-small-News

Summarization
Transformers
TensorBoard
Safetensors
mt5
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use VladimML/mt5-small-News with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use VladimML/mt5-small-News 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="VladimML/mt5-small-News")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("VladimML/mt5-small-News")
    model = AutoModelForSeq2SeqLM.from_pretrained("VladimML/mt5-small-News")
  • Notebooks
  • Google Colab
  • Kaggle
mt5-small-News
1.22 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 52 commits
VladimML's picture
VladimML
Training complete
1879b5b verified about 2 years ago
  • runs
    Training complete about 2 years ago
  • .gitattributes
    1.57 kB
    Training in progress, step 500 about 2 years ago
  • README.md
    2.14 kB
    Training complete about 2 years ago
  • config.json
    802 Bytes
    Training in progress, step 500 about 2 years ago
  • generation_config.json
    112 Bytes
    Training complete about 2 years ago
  • model.safetensors
    1.2 GB
    xet
    Training in progress, step 10000 about 2 years ago
  • special_tokens_map.json
    416 Bytes
    Training in progress, step 500 about 2 years ago
  • spiece.model
    4.31 MB
    xet
    Training in progress, step 500 about 2 years ago
  • tokenizer.json
    16.3 MB
    xet
    Training in progress, step 500 about 2 years ago
  • tokenizer_config.json
    861 Bytes
    Training in progress, step 500 about 2 years ago
  • training_args.bin

    Detected Pickle imports (9)

    • "torch.device",
    • "accelerate.utils.dataclasses.DistributedType",
    • "transformers.trainer_utils.IntervalStrategy",
    • "transformers.training_args.OptimizerNames",
    • "transformers.trainer_pt_utils.AcceleratorConfig",
    • "transformers.trainer_utils.SchedulerType",
    • "transformers.training_args_seq2seq.Seq2SeqTrainingArguments",
    • "transformers.trainer_utils.HubStrategy",
    • "accelerate.state.PartialState"

    How to fix it?

    5.05 kB
    xet
    Training in progress, step 500 about 2 years ago