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NhatPham
/
secretModel

Text Classification
Transformers
PyTorch
English
distilbert
emotion
endpoints-template
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use NhatPham/secretModel with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="NhatPham/secretModel")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("NhatPham/secretModel")
    model = AutoModelForSequenceClassification.from_pretrained("NhatPham/secretModel")
  • Notebooks
  • Google Colab
  • Kaggle
secretModel
268 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
NhatPham's picture
NhatPham
Initial commit
613badd about 2 years ago
  • __pycache__
    Initial commit about 2 years ago
  • .gitattributes
    1.34 kB
    Initial commit about 2 years ago
  • README.md
    285 Bytes
    Initial commit about 2 years ago
  • config.json
    768 Bytes
    Initial commit about 2 years ago
  • handler.py
    919 Bytes
    Initial commit about 2 years ago
  • pipeline.py
    875 Bytes
    Initial commit about 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    268 MB
    xet
    Initial commit about 2 years ago
  • requirements.txt
    26 Bytes
    Initial commit about 2 years ago
  • special_tokens_map.json
    112 Bytes
    Initial commit about 2 years ago
  • tokenizer_config.json
    291 Bytes
    Initial commit about 2 years ago
  • vocab.txt
    232 kB
    Initial commit about 2 years ago