Instructions to use mlboydaisuke/GLiNER2-PII-CoreAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use mlboydaisuke/GLiNER2-PII-CoreAI with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("mlboydaisuke/GLiNER2-PII-CoreAI") 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
ios/: the JIT .aimodel alone (every iPhone generation specializes it); the h18p AOT files move to ios-h18p/
887627e verified Download ios-h18p/tokenizer/tokenizer.json from mlboydaisuke/GLiNER2-PII-CoreAI: direct link, hf CLI and curl.
- Browser
- Download file 16 MB
-
https://huggingface.co/mlboydaisuke/GLiNER2-PII-CoreAI/resolve/main/ios-h18p/tokenizer/tokenizer.json
- Command line
-
hf download hf://mlboydaisuke/GLiNER2-PII-CoreAI/ios-h18p/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mlboydaisuke/GLiNER2-PII-CoreAI/resolve/main/ios-h18p/tokenizer/tokenizer.json
16 MB
- Xet hash:
- 920fad91bae09682666082a819c01b4a601ac817a9d5f9e70988c798c105f179
- Size of remote file:
- 16 MB
- SHA256:
- f6df10ec83bea993035b2dd7c39345a3d4fcf23421c2adb6cb4ffc1e6d1bc4b5
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