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
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

dplotnikov
/
stratabert-tiny-ag-news-smoke

Text Classification
Transformers
ONNX
Safetensors
English
stratabert
diagnostic
long-context
custom-code
custom_code
Model card Files Files and versions
xet
Community

Instructions to use dplotnikov/stratabert-tiny-ag-news-smoke with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dplotnikov/stratabert-tiny-ag-news-smoke with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="dplotnikov/stratabert-tiny-ag-news-smoke", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForSequenceClassification
    model = AutoModelForSequenceClassification.from_pretrained("dplotnikov/stratabert-tiny-ag-news-smoke", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
stratabert-tiny-ag-news-smoke
20.5 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
dplotnikov's picture
dplotnikov
Upload StrataBERT diagnostic checkpoint
b1a5e4f verified 17 days ago
  • .gitattributes
    1.52 kB
    initial commit 17 days ago
  • README.md
    6.45 kB
    Upload StrataBERT diagnostic checkpoint 17 days ago
  • attention.py
    4.14 kB
    Upload StrataBERT diagnostic checkpoint 17 days ago
  • bidirectional_ssm.py
    2.69 kB
    Upload StrataBERT diagnostic checkpoint 17 days ago
  • config.json
    1.78 kB
    Upload StrataBERT diagnostic checkpoint 17 days ago
  • configuration_stratabert.py
    5.25 kB
    Upload StrataBERT diagnostic checkpoint 17 days ago
  • heads.py
    2.12 kB
    Upload StrataBERT diagnostic checkpoint 17 days ago
  • losses.py
    2.36 kB
    Upload StrataBERT diagnostic checkpoint 17 days ago
  • metadata.json
    2.17 kB
    Upload StrataBERT diagnostic checkpoint 17 days ago
  • model.onnx
    10.5 MB
    xet
    Upload StrataBERT diagnostic checkpoint 17 days ago
  • model.safetensors
    10 MB
    xet
    Upload StrataBERT diagnostic checkpoint 17 days ago
  • modeling_outputs.py
    1.49 kB
    Upload StrataBERT diagnostic checkpoint 17 days ago
  • modeling_stratabert.py
    11.2 kB
    Upload StrataBERT diagnostic checkpoint 17 days ago
  • padding.py
    1.06 kB
    Upload StrataBERT diagnostic checkpoint 17 days ago
  • pooling.py
    2.2 kB
    Upload StrataBERT diagnostic checkpoint 17 days ago
  • ssm.py
    1.97 kB
    Upload StrataBERT diagnostic checkpoint 17 days ago