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SrihariV
/
b2b-intent-signal-classifier

Text Classification
Transformers
Safetensors
English
distilbert
intent-detection
b2b
sales-intelligence
gtm
fine-tuned
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use SrihariV/b2b-intent-signal-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SrihariV/b2b-intent-signal-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SrihariV/b2b-intent-signal-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SrihariV/b2b-intent-signal-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("SrihariV/b2b-intent-signal-classifier", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
b2b-intent-signal-classifier
269 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
SrihariV's picture
SrihariV
Add model card
ef2c53a verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    1.85 kB
    Add model card 5 months ago
  • config.json
    1 kB
    Initial model: B2B Intent Signal Classifier 5 months ago
  • model.safetensors
    268 MB
    xet
    Initial model: B2B Intent Signal Classifier 5 months ago
  • tokenizer.json
    711 kB
    Add tokenizer 5 months ago
  • tokenizer_config.json
    322 Bytes
    Add tokenizer 5 months ago