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wjdwodnjs
/
model_output

Text Classification
Transformers
TensorBoard
Safetensors
bert
JJW
10class
multi_labels
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use wjdwodnjs/model_output with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="wjdwodnjs/model_output")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("wjdwodnjs/model_output")
    model = AutoModelForSequenceClassification.from_pretrained("wjdwodnjs/model_output", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
model_output / runs
40.5 kB
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  • 1 contributor
History: 1 commit
wjdwodnjs's picture
wjdwodnjs
wjdwodnjs
ca3e88a verified almost 2 years ago
  • Oct08_07-41-49_32b7b602c5a5
    wjdwodnjs almost 2 years ago
  • Oct10_00-17-09_4af034712957
    wjdwodnjs almost 2 years ago