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austinjp
/
trained_004

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

Instructions to use austinjp/trained_004 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use austinjp/trained_004 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="austinjp/trained_004")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("austinjp/trained_004")
    model = AutoModelForSequenceClassification.from_pretrained("austinjp/trained_004")
  • Notebooks
  • Google Colab
  • Kaggle
trained_004
1.32 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
austinjp's picture
austinjp
Upload out/model.onnx with huggingface_hub
6a13215 verified 12 months ago
  • out
    Upload out/model.onnx with huggingface_hub 12 months ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.17 kB
    Upload BertForSequenceClassification about 1 year ago
  • config.json
    903 Bytes
    Upload BertForSequenceClassification about 1 year ago
  • model.onnx
    440 MB
    xet
    Upload model.onnx with huggingface_hub about 1 year ago
  • model.safetensors
    440 MB
    xet
    Upload BertForSequenceClassification about 1 year ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer.json
    712 kB
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.37 kB
    Upload tokenizer about 1 year ago
  • vocab.txt
    222 kB
    Upload tokenizer about 1 year ago