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Jeevesh8
/
bl__mnli_ft_7

Text Classification
Transformers
JAX
TensorBoard
bert
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Jeevesh8/bl__mnli_ft_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Jeevesh8/bl__mnli_ft_7 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Jeevesh8/bl__mnli_ft_7")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bl__mnli_ft_7")
    model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bl__mnli_ft_7")
  • Notebooks
  • Google Colab
  • Kaggle
bl__mnli_ft_7
1.36 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 39 commits
Jeevesh8's picture
Jeevesh8
Saving weights and logs of step 36813
f881a61 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    835 Bytes
    Saving weights and logs of step 0 over 2 years ago
  • events.out.tfevents.1703529323.gr003.hpc.nyu.edu.2207368.0.v2
    13.7 MB
    xet
    Saving weights and logs of step 36813 over 2 years ago
  • flax_model.msgpack
    1.34 GB
    xet
    Saving weights and logs of step 36813 over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Saving weights and logs of step 0 over 2 years ago
  • tokenizer.json
    712 kB
    Saving weights and logs of step 0 over 2 years ago
  • tokenizer_config.json
    314 Bytes
    Saving weights and logs of step 0 over 2 years ago
  • vocab.txt
    232 kB
    Saving weights and logs of step 0 over 2 years ago