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mjpsm
/
roadblock-classifier-v1

Text Classification
Transformers
Safetensors
distilbert
nlp
sentiment-analysis
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use mjpsm/roadblock-classifier-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mjpsm/roadblock-classifier-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mjpsm/roadblock-classifier-v1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mjpsm/roadblock-classifier-v1")
    model = AutoModelForSequenceClassification.from_pretrained("mjpsm/roadblock-classifier-v1")
  • Notebooks
  • Google Colab
  • Kaggle
roadblock-classifier-v1
269 MB
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  • 1 contributor
History: 7 commits
mjpsm's picture
mjpsm
Upload DistilBertForSequenceClassification
bc4684b verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    1.99 kB
    Upload DistilBertForSequenceClassification about 1 month ago
  • config.json
    773 Bytes
    Upload DistilBertForSequenceClassification about 2 months ago
  • model.safetensors
    268 MB
    xet
    Upload DistilBertForSequenceClassification about 1 month ago
  • tokenizer.json
    711 kB
    Upload tokenizer about 2 months ago
  • tokenizer_config.json
    321 Bytes
    Upload tokenizer about 2 months ago