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thobauma
/
opt-350m

Text Classification
Transformers
TensorBoard
Safetensors
opt
trl
reward-trainer
reward
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use thobauma/opt-350m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use thobauma/opt-350m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="thobauma/opt-350m")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("thobauma/opt-350m")
    model = AutoModelForSequenceClassification.from_pretrained("thobauma/opt-350m")
  • Notebooks
  • Google Colab
  • Kaggle
opt-350m
1.33 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
thobauma's picture
thobauma
Model save
4312562 verified about 2 years ago
  • runs
    Model save about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    1.05 kB
    Model save about 2 years ago
  • all_results.json
    188 Bytes
    Model save about 2 years ago
  • config.json
    842 Bytes
    Model save about 2 years ago
  • generation_config.json
    132 Bytes
    Model save about 2 years ago
  • merges.txt
    456 kB
    Model save about 2 years ago
  • model.safetensors
    1.32 GB
    xet
    Model save about 2 years ago
  • special_tokens_map.json
    548 Bytes
    Model save about 2 years ago
  • tokenizer.json
    2.11 MB
    Model save about 2 years ago
  • tokenizer_config.json
    642 Bytes
    Model save about 2 years ago
  • train_results.json
    188 Bytes
    Model save about 2 years ago
  • trainer_state.json
    673 Bytes
    Model save about 2 years ago
  • training_args.bin

    Detected Pickle imports (9)

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

    How to fix it?

    4.92 kB
    xet
    Model save about 2 years ago
  • vocab.json
    798 kB
    Model save about 2 years ago