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Harsh-7300
/
Mitrai_text

Text Classification
Transformers
google-tensorflow TensorFlow
English
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Harsh-7300/Mitrai_text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Harsh-7300/Mitrai_text with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Harsh-7300/Mitrai_text")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Harsh-7300/Mitrai_text")
    model = AutoModelForSequenceClassification.from_pretrained("Harsh-7300/Mitrai_text")
  • Notebooks
  • Google Colab
  • Kaggle
Mitrai_text
660 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
Harsh-7300's picture
Harsh-7300
Upload 10 files
2306ce0 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    2.09 kB
    Upload 10 files about 2 years ago
  • config.json
    1.01 kB
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  • merges.txt
    456 kB
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  • model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    329 MB
    xet
    Upload 10 files about 2 years ago
  • special_tokens_map.json
    239 Bytes
    Upload 10 files about 2 years ago
  • tf_model.h5
    329 MB
    xet
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  • tokenizer.json
    1.36 MB
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  • tokenizer_config.json
    294 Bytes
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  • training_args.bin

    Detected Pickle imports (4)

    • "transformers.training_args.TrainingArguments",
    • "transformers.trainer_utils.IntervalStrategy",
    • "torch.device",
    • "transformers.trainer_utils.SchedulerType"

    How to fix it?

    2.42 kB
    xet
    Upload 10 files about 2 years ago
  • vocab.json
    798 kB
    Upload 10 files about 2 years ago