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souuzaa
/
GLiNER2.5-Decide-4bit

Text Classification
MLX
Safetensors
GLiNER2
English
extractor
apple-silicon
deberta-v2
zero-shot-classification
named-entity-recognition
custom-code
decision-model
Model card Files Files and versions
xet
Community
1

Instructions to use souuzaa/GLiNER2.5-Decide-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use souuzaa/GLiNER2.5-Decide-4bit with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    hf download souuzaa/GLiNER2.5-Decide-4bit --local-dir GLiNER2.5-Decide-4bit
  • GLiNER2

    How to use souuzaa/GLiNER2.5-Decide-4bit with GLiNER2:

    from gliner2 import AutoExtractor
    
    extractor = AutoExtractor.from_pretrained("souuzaa/GLiNER2.5-Decide-4bit")
    
    # Extract entities
    text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday."
    result = extractor.extract_entities(text, ["company", "person", "product", "location"])
    
    print(result)
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
  • Atomic Chat
GLiNER2.5-Decide-4bit
359 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
souuzaa's picture
souuzaa
mishig's picture
mishig HF Staff
Add `decision-model` tag (#1)
6023a32 15 days ago
  • .gitattributes
    1.52 kB
    initial commit 21 days ago
  • README.md
    4.96 kB
    Add `decision-model` tag (#1) 15 days ago
  • config.json
    1.45 kB
    Upload folder using huggingface_hub 21 days ago
  • gliner2_mlx.py
    31.6 kB
    Upload folder using huggingface_hub 21 days ago
  • model.safetensors
    350 MB
    xet
    Upload folder using huggingface_hub 21 days ago
  • special_tokens_map.json
    2.41 kB
    Upload folder using huggingface_hub 21 days ago
  • tokenizer.json
    8.33 MB
    Upload folder using huggingface_hub 21 days ago
  • tokenizer_config.json
    3.36 kB
    Upload folder using huggingface_hub 21 days ago