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EdwarV
/
NLP_sequences_example

Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use EdwarV/NLP_sequences_example with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="EdwarV/NLP_sequences_example")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("EdwarV/NLP_sequences_example")
    model = AutoModelForSequenceClassification.from_pretrained("EdwarV/NLP_sequences_example")
  • Notebooks
  • Google Colab
  • Kaggle
NLP_sequences_example / runs
22.9 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
EdwarV's picture
EdwarV
Let´s go!
43e4ec6 over 2 years ago
  • Dec21_19-52-59_560ec50c4571
    Training in progress, step 500 over 2 years ago
  • Dec21_19-53-52_560ec50c4571
    Let´s go! over 2 years ago