Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

fastino
/
GLiNER2.5-multi-Decide

Transformers
Safetensors
GLiNER2
multilingual
English
Text classification
Intent classification
Sentiment Analysis
Topic classification
Named Entity Recognition
decision-model
schema-extraction
Model card Files Files and versions
xet
Community
8

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

  • Libraries
  • Transformers

    How to use fastino/GLiNER2.5-multi-Decide with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import Gliner2ForSchemaExtraction
    model = Gliner2ForSchemaExtraction.from_pretrained("fastino/GLiNER2.5-multi-Decide", device_map="auto")
  • GLiNER2

    How to use fastino/GLiNER2.5-multi-Decide with GLiNER2:

    from gliner2 import AutoExtractor
    
    extractor = AutoExtractor.from_pretrained("fastino/GLiNER2.5-multi-Decide")
    
    # 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
GLiNER2.5-multi-Decide
1.17 GB
Ctrl+K
Ctrl+K
  • 5 contributors
History: 9 commits
jaanavi's picture
jaanavi
Update GLiNER2 deployment badge link
094ebe7 verified 28 days ago
  • encoder_config
    Add the multilingual classification checkpoint 28 days ago
  • .gitattributes
    1.64 kB
    Add the model card banner 28 days ago
  • GLiNER-2.5-Decision-HF-Banner.png
    648 kB
    xet
    Add the model card banner 28 days ago
  • README.md
    17.2 kB
    Update GLiNER2 deployment badge link 28 days ago
  • SKILL.md
    6.47 kB
    Update the Fastino GLiNER skill 28 days ago
  • config.json
    3.15 kB
    Add the multilingual classification checkpoint 28 days ago
  • model.safetensors
    1.15 GB
    xet
    Add the multilingual classification checkpoint 28 days ago
  • tokenizer.json
    16 MB
    xet
    Add the multilingual classification checkpoint 28 days ago
  • tokenizer_config.json
    646 Bytes
    Add the multilingual classification checkpoint 28 days ago