Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets
  • 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-v1

Transformers
Safetensors
GLiNER2
multilingual
English
Text classification
Named Entity Recognition
Relation Extraction
Intent classification
Sentiment Analysis
Topic classification
Structured extraction
Json extraction
information-extraction
boundary-extraction
schema-extraction
Model card Files Files and versions
xet
Community
11

Instructions to use fastino/gliner2.5-multi-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fastino/gliner2.5-multi-v1 with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import Gliner2ForSchemaExtraction
    model = Gliner2ForSchemaExtraction.from_pretrained("fastino/gliner2.5-multi-v1", device_map="auto")
  • GLiNER2

    How to use fastino/gliner2.5-multi-v1 with GLiNER2:

    from gliner2 import AutoExtractor
    
    extractor = AutoExtractor.from_pretrained("fastino/gliner2.5-multi-v1")
    
    # 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-v1
1.17 GB
Ctrl+K
Ctrl+K
  • 7 contributors
History: 24 commits
urchade's picture
urchade
MattThomas-fastino's picture
MattThomas-fastino
Load this checkpoint as a Transformers schema-extraction model. (#11)
cf5593a 20 days ago
  • encoder_config
    Upload folder using huggingface_hub 2 months ago
  • .gitattributes
    1.69 kB
    Upload GLiNER-2.5-Multi-HF-Banner.png (#4) about 1 month ago
  • GLiNER-2.5-Multi-HF-Banner.png
    656 kB
    xet
    Upload GLiNER-2.5-Multi-HF-Banner.png (#4) about 1 month ago
  • GitHub_new.jpg
    858 kB
    xet
    Add Fastino model card banner. 2 months ago
  • README.md
    22 kB
    Load this checkpoint as a Transformers schema-extraction model. (#11) 20 days ago
  • SKILL.md
    6.51 kB
    Update the Fastino GLiNER skill about 1 month ago
  • config.json
    4.1 kB
    Load this checkpoint as a Transformers schema-extraction model. (#11) 20 days ago
  • model.safetensors
    1.15 GB
    xet
    Upload folder using huggingface_hub 2 months ago
  • tokenizer.json
    16 MB
    xet
    Upload BoundaryExtractor 3 months ago
  • tokenizer_config.json
    645 Bytes
    Upload BoundaryExtractor 3 months ago