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-Decide

Token Classification
GLiNER2
Safetensors
English
extractor
Text classification
Intent classification
Sentiment Analysis
Topic classification
Named Entity Recognition
Model card Files Files and versions
xet
Community
9

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

  • Libraries
  • GLiNER2

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

    from gliner2 import GLiNER2
    
    model = GLiNER2.from_pretrained("fastino/GLiNER2.5-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-Decide
1.95 GB
Ctrl+K
Ctrl+K
  • 5 contributors
History: 21 commits
urchade's picture
urchade
Point the fine-tune button to agent.fastino.ai
5a7adf7 verified about 16 hours ago
  • encoder_config
    Upload large classification finetune at step 95500 5 days ago
  • .gitattributes
    1.59 kB
    upload banner (#1) 5 days ago
  • GLiNER-2.5-Decision-HF-Banner.png
    648 kB
    xet
    upload banner (#1) 5 days ago
  • README.md
    16.8 kB
    Point the fine-tune button to agent.fastino.ai about 16 hours ago
  • SKILL.md
    6.51 kB
    Update the Fastino GLiNER skill 4 days ago
  • config.json
    594 Bytes
    Upload large classification finetune at step 95500 5 days ago
  • model.safetensors
    1.95 GB
    xet
    Update to step 126500 with benchmark table 4 days ago
  • special_tokens_map.json
    2.41 kB
    Upload large classification finetune at step 95500 5 days ago
  • tokenizer.json
    8.33 MB
    Upload large classification finetune at step 95500 5 days ago
  • tokenizer_config.json
    3.36 kB
    Upload large classification finetune at step 95500 5 days ago