Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

Jios
/
bert-unformatted-network-data-test-6-types

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 Jios/bert-unformatted-network-data-test-6-types with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Jios/bert-unformatted-network-data-test-6-types with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Jios/bert-unformatted-network-data-test-6-types")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Jios/bert-unformatted-network-data-test-6-types")
    model = AutoModelForSequenceClassification.from_pretrained("Jios/bert-unformatted-network-data-test-6-types", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert-unformatted-network-data-test-6-types / runs
16.8 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
Jios's picture
Jios
Training in progress, epoch 5
dfb02c1 verified about 2 years ago
  • Jun03_14-17-41_b9b6065363fe
    Training in progress, epoch 1 about 2 years ago
  • Jun03_14-27-39_b9b6065363fe
    Training in progress, epoch 5 about 2 years ago