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SarwarShafee
/
BanglaBert_with_TFModel

Text Classification
Transformers
PyTorch
google-tensorflow TensorFlow
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use SarwarShafee/BanglaBert_with_TFModel with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SarwarShafee/BanglaBert_with_TFModel")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SarwarShafee/BanglaBert_with_TFModel")
    model = AutoModelForSequenceClassification.from_pretrained("SarwarShafee/BanglaBert_with_TFModel")
  • Notebooks
  • Google Colab
  • Kaggle
BanglaBert_with_TFModel
884 MB
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  • 1 contributor
History: 5 commits
SarwarShafee's picture
SarwarShafee
Update README.md
a9cc8f5 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    1.32 kB
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  • config.json
    942 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    440 MB
    xet
    Upload 6 files almost 3 years ago
  • special_tokens_map.json
    125 Bytes
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  • tf_model.h5
    443 MB
    xet
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  • tokenizer.json
    1.03 MB
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  • tokenizer_config.json
    430 Bytes
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  • vocab.txt
    528 kB
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