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namesarnav
/
causalbench_code-t5-base

Text Classification
Transformers
Safetensors
t5
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use namesarnav/causalbench_code-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use namesarnav/causalbench_code-t5-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="namesarnav/causalbench_code-t5-base")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("namesarnav/causalbench_code-t5-base")
    model = AutoModelForSequenceClassification.from_pretrained("namesarnav/causalbench_code-t5-base", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
causalbench_code-t5-base
897 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
namesarnav's picture
namesarnav
Fine-tuned on causal classification
1d0f307 verified 2 days ago
  • .gitattributes
    1.52 kB
    initial commit 16 days ago
  • README.md
    1.75 kB
    Model save 2 days ago
  • config.json
    1.62 kB
    Model save 2 days ago
  • eval_results.json
    268 Bytes
    Fine-tuned on causal classification 2 days ago
  • model.safetensors
    894 MB
    xet
    Model save 2 days ago
  • special_tokens_map.json
    2.2 kB
    Model save 2 days ago
  • spiece.model
    792 kB
    xet
    Model save 2 days ago
  • tokenizer.json
    2.42 MB
    Model save 2 days ago
  • tokenizer_config.json
    20.8 kB
    Model save 2 days ago
  • training_args.bin
    5.91 kB
    xet
    Model save 2 days ago