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allsmart
/
Intent

Text Classification
Transformers
Safetensors
modernbert
feature-extraction
intent
routing
chatbot
agents
moderation
prompt-injection
off-topic
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use allsmart/Intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use allsmart/Intent with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="allsmart/Intent")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("allsmart/Intent")
    model = AutoModel.from_pretrained("allsmart/Intent", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Intent
1.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
allsmart's picture
allsmart
Speed on NVIDIA GB10
87047e1 verified 3 days ago
  • .gitattributes
    1.57 kB
    Erste Fassung 4 days ago
  • LICENSE
    11.4 kB
    Erste Fassung 4 days ago
  • README.md
    8.93 kB
    Speed on NVIDIA GB10 3 days ago
  • beispiel.py
    4.35 kB
    Eine Version: ALLSmartIntent 4 days ago
  • config.json
    1.9 kB
    Erste Fassung 4 days ago
  • intent.json
    1.05 kB
    Erste Fassung 4 days ago
  • koepfe.safetensors
    127 kB
    xet
    Erste Fassung 4 days ago
  • model.safetensors
    1.23 GB
    xet
    Erste Fassung 4 days ago
  • tokenizer.json
    34.4 MB
    xet
    Erste Fassung 4 days ago
  • tokenizer_config.json
    574 Bytes
    Erste Fassung 4 days ago