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alex-apoha
/
esm_finetuned

Text Classification
Transformers
TensorBoard
Safetensors
esm
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use alex-apoha/esm_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use alex-apoha/esm_finetuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="alex-apoha/esm_finetuned")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("alex-apoha/esm_finetuned")
    model = AutoModelForSequenceClassification.from_pretrained("alex-apoha/esm_finetuned", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
esm_finetuned / best_model
595 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
alex-apoha's picture
alex-apoha
alex-apoha/esm_finetuned
0d8ab10 verified over 1 year ago
  • config.json
    900 Bytes
    alex-apoha/esm_finetuned over 1 year ago
  • model.safetensors
    595 MB
    xet
    alex-apoha/esm_finetuned over 1 year ago
  • special_tokens_map.json
    695 Bytes
    alex-apoha/esm_finetuned over 1 year ago
  • tokenizer_config.json
    1.16 kB
    alex-apoha/esm_finetuned over 1 year ago
  • vocab.txt
    93 Bytes
    alex-apoha/esm_finetuned over 1 year ago