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cbrew475
/
mpnet-metric

Text Classification
Transformers
PyTorch
mpnet
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use cbrew475/mpnet-metric with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cbrew475/mpnet-metric with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="cbrew475/mpnet-metric")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("cbrew475/mpnet-metric")
    model = AutoModelForSequenceClassification.from_pretrained("cbrew475/mpnet-metric")
  • Notebooks
  • Google Colab
  • Kaggle
mpnet-metric / checkpoint-200
2.2 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 130 commits
cbrew475's picture
cbrew475
Training in progress, step 200
d06a44e over 4 years ago
  • config.json
    3.92 kB
    Training in progress, step 200 over 4 years ago
  • optimizer.pt
    1.76 GB
    xet
    Training in progress, step 200 over 4 years ago
  • pytorch_model.bin
    441 MB
    xet
    Training in progress, step 200 over 4 years ago
  • rng_state.pth
    15.5 kB
    xet
    Training in progress, step 200 over 4 years ago
  • scheduler.pt
    623 Bytes
    xet
    Training in progress, step 200 over 4 years ago
  • special_tokens_map.json
    239 Bytes
    Training in progress, step 200 over 4 years ago
  • tokenizer.json
    466 kB
    Training in progress, step 200 over 4 years ago
  • tokenizer_config.json
    382 Bytes
    Training in progress, step 200 over 4 years ago
  • trainer_state.json
    1.07 kB
    Training in progress, step 200 over 4 years ago
  • training_args.bin
    2.93 kB
    xet
    Training in progress, step 200 over 4 years ago
  • vocab.txt
    232 kB
    Training in progress, step 200 over 4 years ago