Instructions to use spybyscript/gliner25-decide-litert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use spybyscript/gliner25-decide-litert with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- GLiNER2
How to use spybyscript/gliner25-decide-litert with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("spybyscript/gliner25-decide-litert") # 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
Commit History
6 days ago
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Galaxy Z Fold 8 results beside the S23's; GPU priority depends on the GPU
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7 days ago
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Span file and count file for LiteRT's GPU, per-chip NPU span files, GPU priority results
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Every trained head: span extraction (entities, structures, relations); reference runtime; NPU extraction files; phone results
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LiteRT conversion of fastino/GLiNER2.5-Decide, with Qualcomm NPU files
a99cb34