Instructions to use FluidInference/gliner2-5-multi-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use FluidInference/gliner2-5-multi-coreml with GLiNER2:
from gliner2 import GLiNER2 model = GLiNER2.from_pretrained("FluidInference/gliner2-5-multi-coreml") # 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
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| "source_revision": "a221b77a8baf4a613b8f8652661d41fa10a5641e", | |
| "shape": "L128/K8 classification", | |
| "candidate_package": "gliner2_multi_classification_embedding_w8_linear_L128_K8.mlpackage", | |
| "weight_sha256": "655460ce8e9420b55130f3b6b976d4797aa197cd14c909aee96967cea24d766e", | |
| "compression": { | |
| "source": "build/gliner2_multi_classification_fp16_L128_K8.mlpackage", | |
| "output": "build/gliner2_multi_classification_embedding_w8_linear_L128_K8.mlpackage", | |
| "method": "embedding", | |
| "linear_mode": "linear", | |
| "granularity": "per_channel", | |
| "selected_weights": [ | |
| "encoder_embeddings_word_embeddings_weight_to_fp16" | |
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| "source_bytes": 576528829, | |
| "output_bytes": 385193894, | |
| "compression_seconds": 8.913622624997515 | |
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| "candidate": "build/gliner2_multi_classification_embedding_w8_linear_L128_K8.mlpackage", | |
| "manifest": "../../gliner2-small/coreml/fixtures/optimization-selected20.jsonl", | |
| "compute_units": "all", | |
| "processor": "arm", | |
| "machine": "arm64", | |
| "macos": "27.0", | |
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| "paired_first_manifest_cpu_ane": { | |
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| "model": "fastino/gliner2.5-multi-v1", | |
| "revision": "a221b77a8baf4a613b8f8652661d41fa10a5641e", | |
| "package": "build/gliner2_multi_classification_embedding_w8_linear_L128_K8.mlpackage", | |
| "selected_manifest": "first eligible rows in source suite order; no gold labels used", | |
| "counts": { | |
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| "too_long": 31, | |
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| "mismatches": 1 | |
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| "maximum_confidence_error": 0.010161519050598145, | |
| "mean_confidence_error": 0.001292918026447296, | |
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| "failures": [ | |
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| "suite": "jev.ag_news", | |
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| "coreml": "world news and international politics" | |
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| "compute_plan_forced_cpu_ane": { | |
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| "reasons": [ | |
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| "mask_3", | |
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| "var_86", | |
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| "indices_to_int16" | |
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| "reason": "ANE not available for this op", | |
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| "scope": "Selected real classification requests only; no Decision Index or 2048 score; extraction packages are separate.", | |
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| "manifest": "../../laya/coreml/benchmark/suites.jsonl", | |
| "compute_units": "all", | |
| "processor": "arm", | |
| "machine": "arm64", | |
| "macos": "27.0", | |
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| "confidence": 0.4976130723953247 | |
| }, | |
| "coreml": "world news and international politics" | |
| } | |
| ] | |
| } | |