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Elkelouizajo
/
bert_mnli_few

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Elkelouizajo/bert_mnli_few with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Elkelouizajo/bert_mnli_few")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Elkelouizajo/bert_mnli_few")
    model = AutoModelForSequenceClassification.from_pretrained("Elkelouizajo/bert_mnli_few")
  • Notebooks
  • Google Colab
  • Kaggle
bert_mnli_few
1.34 GB
Ctrl+K
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  • 1 contributor
History: 4 commits
Elkelouizajo's picture
Elkelouizajo
Upload 12 files
dd890a6 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    1.08 kB
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  • all_results.json
    186 Bytes
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  • config.json
    1.07 kB
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  • model.safetensors
    1.33 GB
    xet
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  • predict_results.txt
    107 Bytes
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    669 kB
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  • tokenizer_config.json
    1.19 kB
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  • train_results.json
    186 Bytes
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  • trainer_state.json
    699 Bytes
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  • training_args.bin

    Detected Pickle imports (9)

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

    How to fix it?

    4.92 kB
    xet
    Upload 12 files about 2 years ago
  • vocab.txt
    213 kB
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