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vaibhav2507
/
cloudops-bert

Text Classification
Transformers
Safetensors
English
distilbert
log-analysis
anomaly-detection
bert
huggingface
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use vaibhav2507/cloudops-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vaibhav2507/cloudops-bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="vaibhav2507/cloudops-bert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("vaibhav2507/cloudops-bert")
    model = AutoModelForSequenceClassification.from_pretrained("vaibhav2507/cloudops-bert")
  • Notebooks
  • Google Colab
  • Kaggle
cloudops-bert / hpc
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
vaibhav2507's picture
vaibhav2507
Add HPC (BGL) submodel
bc9636b verified 7 months ago
  • config.json
    628 Bytes
    Add HPC (BGL) submodel 7 months ago
  • model.safetensors
    268 MB
    xet
    Add HPC (BGL) submodel 7 months ago
  • special_tokens_map.json
    695 Bytes
    Add HPC (BGL) submodel 7 months ago
  • tokenizer.json
    711 kB
    Add HPC (BGL) submodel 7 months ago
  • tokenizer_config.json
    1.34 kB
    Add HPC (BGL) submodel 7 months ago
  • vocab.txt
    232 kB
    Add HPC (BGL) submodel 7 months ago