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nepp1d0
/
prot_bert_classification_finetuned_no_finetune

Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use nepp1d0/prot_bert_classification_finetuned_no_finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nepp1d0/prot_bert_classification_finetuned_no_finetune with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="nepp1d0/prot_bert_classification_finetuned_no_finetune")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("nepp1d0/prot_bert_classification_finetuned_no_finetune")
    model = AutoModelForSequenceClassification.from_pretrained("nepp1d0/prot_bert_classification_finetuned_no_finetune")
  • Notebooks
  • Google Colab
  • Kaggle
prot_bert_classification_finetuned_no_finetune / logs
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  • 1 contributor
History: 1 commit
nepp1d0's picture
nepp1d0
add logs
5fcd130 about 4 years ago
  • 1652135405.90022
    add logs about 4 years ago
  • events.out.tfevents.1652135405.26f24b2c949d.82.0
    794 kB
    xet
    add logs about 4 years ago