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parsi-ai-nlpclass
/
detect_intent

Text Classification
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use parsi-ai-nlpclass/detect_intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use parsi-ai-nlpclass/detect_intent with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="parsi-ai-nlpclass/detect_intent")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("parsi-ai-nlpclass/detect_intent")
    model = AutoModelForSequenceClassification.from_pretrained("parsi-ai-nlpclass/detect_intent")
  • Notebooks
  • Google Colab
  • Kaggle
detect_intent
655 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
NedaTaghizadeh's picture
NedaTaghizadeh
commit files to HF hub
0734c3a almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • config.json
    1.33 kB
    commit files to HF hub almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.LongStorage",
    • "torch.FloatStorage"

    What is a pickle import?

    651 MB
    xet
    commit files to HF hub almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    commit files to HF hub almost 3 years ago
  • tokenizer.json
    2.79 MB
    commit files to HF hub almost 3 years ago
  • tokenizer_config.json
    425 Bytes
    commit files to HF hub almost 3 years ago
  • vocab.txt
    1.2 MB
    commit files to HF hub almost 3 years ago