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eyeonyou
/
logs

Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use eyeonyou/logs with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="eyeonyou/logs")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("eyeonyou/logs")
    model = AutoModelForSequenceClassification.from_pretrained("eyeonyou/logs", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
logs
502 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 26 commits
eyeonyou's picture
eyeonyou
fine-tuned-codebert-4-leetcode-dfly-clf
b266ae0 verified over 2 years ago
  • runs
    Training in progress, epoch 4 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.79 kB
    Model save over 2 years ago
  • config.json
    909 Bytes
    Training in progress, epoch 1 over 2 years ago
  • merges.txt
    456 kB
    Training in progress, epoch 1 over 2 years ago
  • model.safetensors
    499 MB
    xet
    Training in progress, epoch 4 over 2 years ago
  • special_tokens_map.json
    958 Bytes
    Training in progress, epoch 1 over 2 years ago
  • tokenizer.json
    2.11 MB
    Training in progress, epoch 1 over 2 years ago
  • tokenizer_config.json
    1.22 kB
    Training in progress, epoch 1 over 2 years ago
  • training_args.bin
    4.98 kB
    xet
    Training in progress, epoch 1 over 2 years ago
  • vocab.json
    798 kB
    Training in progress, epoch 1 over 2 years ago