Instructions to use spybyscript/gliner25-base-litert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use spybyscript/gliner25-base-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-base-litert with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("spybyscript/gliner25-base-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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Qualcomm NPU: the fp16hw encoder precompiled for five Snapdragon chips
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Galaxy Z Fold 8 results beside the S23's; GPU priority depends on the GPU
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A concise card: the files, use, validation and the Galaxy S23 Ultra results
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7 days ago
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S23: the encoder at NORMAL GPU priority; fp16hw at GPU FP16 with FP32 accumulation; GPU priority beside a rendering app
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Every trained head: explicit spans, relations and records; reference runtime; phone results
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Card: what this port does, and what it leaves out
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LiteRT conversion of fastino/gliner2.5-base-v1
518684c