GLiNER2
Safetensors
Basque
Spanish
English
extractor
named-entity-recognition
ner
basque
euskara
pii
privacy
information-extraction
Eval Results (legacy)
Instructions to use tknika/gliner2-PII-basque with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use tknika/gliner2-PII-basque with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("tknika/gliner2-PII-basque") # 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
Download tokenizer.json from tknika/gliner2-PII-basque: direct link, hf CLI and curl.
- Browser
- Download file 16 MB
-
https://huggingface.co/tknika/gliner2-PII-basque/resolve/main/tokenizer.json
- Command line
-
hf download hf://tknika/gliner2-PII-basque/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/tknika/gliner2-PII-basque/resolve/main/tokenizer.json
16 MB
- Xet hash:
- 920fad91bae09682666082a819c01b4a601ac817a9d5f9e70988c798c105f179
- Size of remote file:
- 16 MB
- SHA256:
- f6df10ec83bea993035b2dd7c39345a3d4fcf23421c2adb6cb4ffc1e6d1bc4b5
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