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Ugiat
/
NERCat

Token Classification
GLiNER
PyTorch
Catalan
Spanish
NER
Catalan
NLP
television transcriptions
manual annotation
GLiNER
Model card Files Files and versions
xet
Community

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

  • Libraries
  • GLiNER

    How to use Ugiat/NERCat with GLiNER:

    from gliner import GLiNER
    
    model = GLiNER.from_pretrained("Ugiat/NERCat")
    
    text = "Cristiano Ronaldo dos Santos Aveiro was born on 5 February 1985 in Funchal, Madeira, Portugal."
    labels = ["person", "date", "location"]
    
    entities = model.predict_entities(text, labels)
    for entity in entities:
        print(entity["text"], "=>", entity["label"])
  • Notebooks
  • Google Colab
  • Kaggle
NERCat
2.29 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 14 commits
RaulQF's picture
RaulQF
Add base_model, library_name and pipeline_tag metadata
d395f43 verified about 19 hours ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    4.44 kB
    Add base_model, library_name and pipeline_tag metadata about 19 hours ago
  • config.json
    6 Bytes
    Update config.json over 1 year ago
  • gliner_config.json
    5.88 kB
    Upload 4 files over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    2.28 GB
    xet
    Upload pytorch_model.bin over 1 year ago
  • special_tokens_map.json
    970 Bytes
    Upload 4 files over 1 year ago
  • spm.model
    2.46 MB
    xet
    Upload spm.model over 1 year ago
  • tokenizer.json
    8.65 MB
    Upload 4 files over 1 year ago
  • tokenizer_config.json
    1.28 kB
    Upload 4 files over 1 year ago