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justina
/
undersampled-review-clf

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use justina/undersampled-review-clf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use justina/undersampled-review-clf with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="justina/undersampled-review-clf")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("justina/undersampled-review-clf")
    model = AutoModelForSequenceClassification.from_pretrained("justina/undersampled-review-clf")
  • Notebooks
  • Google Colab
  • Kaggle
undersampled-review-clf
1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
8414420 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    1.82 kB
    End of training almost 3 years ago
  • config.json
    976 Bytes
    End of training almost 3 years ago
  • merges.txt
    456 kB
    Upload tokenizer almost 3 years ago
  • model.safetensors
    499 MB
    xet
    Adding `safetensors` variant of this model almost 3 years ago
  • pytorch_model.bin
    499 MB
    xet
    End of training almost 3 years ago
  • special_tokens_map.json
    280 Bytes
    Upload tokenizer almost 3 years ago
  • tokenizer.json
    2.11 MB
    Upload tokenizer almost 3 years ago
  • tokenizer_config.json
    1.37 kB
    Upload tokenizer almost 3 years ago
  • training_args.bin

    Detected Pickle imports (8)

    • "transformers.trainer_utils.SchedulerType",
    • "transformers.trainer_utils.IntervalStrategy",
    • "transformers.training_args.TrainingArguments",
    • "transformers.training_args.OptimizerNames",
    • "transformers.trainer_utils.HubStrategy",
    • "torch.device",
    • "accelerate.state.PartialState",
    • "accelerate.utils.dataclasses.DistributedType"

    How to fix it?

    4.03 kB
    xet
    End of training almost 3 years ago
  • vocab.json
    798 kB
    Upload tokenizer almost 3 years ago