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autoevaluate
/
natural-language-inference

Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
10

Instructions to use autoevaluate/natural-language-inference with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use autoevaluate/natural-language-inference with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="autoevaluate/natural-language-inference")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("autoevaluate/natural-language-inference")
    model = AutoModelForSequenceClassification.from_pretrained("autoevaluate/natural-language-inference")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Librarian Bot: Add base_model information to model

#10 opened over 2 years ago by
librarian-bot

Adding `safetensors` variant of this model

#9 opened about 3 years ago by
SFconvertbot

Add evaluation results on the mrpc config and validation split of glue

#8 opened over 3 years ago by
lewtun

Add evaluation results on the mrpc config and validation split of glue

#7 opened over 3 years ago by
lewtun

Add evaluation results on the mrpc config and validation split of glue

#6 opened over 3 years ago by
lewtun

Add evaluation results on the mrpc config and validation split of glue

#5 opened over 3 years ago by
lewtun

Add evaluation results on the mrpc config and validation split of glue

#4 opened over 3 years ago by
lewtun

Add evaluation results on the mrpc config of glue

#3 opened over 3 years ago by
abhishek

Add evaluation results on the mrpc config of glue

#1 opened over 3 years ago by
abhishek
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