Instructions to use FluidInference/gliner2-5-base-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use FluidInference/gliner2-5-base-coreml with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("FluidInference/gliner2-5-base-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
Download extraction-assets.lock.json from FluidInference/gliner2-5-base-coreml: direct link, hf CLI and curl.
- Browser
- Download file 11 kB
-
https://huggingface.co/FluidInference/gliner2-5-base-coreml/resolve/main/extraction-assets.lock.json
- Command line
-
hf download hf://FluidInference/gliner2-5-base-coreml/extraction-assets.lock.json
-
curl -L -o extraction-assets.lock.json https://huggingface.co/FluidInference/gliner2-5-base-coreml/resolve/main/extraction-assets.lock.json
11 kB
| { | |
| "source_model": "fastino/gliner2.5-base-v1", | |
| "source_revision": "1a8bc24e00dc7300b9017c81d63e3dcdabb26596", | |
| "package_files": [ | |
| { | |
| "package": "gliner2_base_explicit_fp16_W64_Q8_S64.mlpackage", | |
| "bytes": 614010, | |
| "files": [ | |
| { | |
| "path": "gliner2_base_explicit_fp16_W64_Q8_S64.mlpackage/Data/com.apple.CoreML/model.mlmodel", | |
| "bytes": 61009, | |
| "sha256": "833cfc75c7b45d95f423b00770569ad00707aad4d7e993d9288aacd6392901be" | |
| }, | |
| { | |
| "path": "gliner2_base_explicit_fp16_W64_Q8_S64.mlpackage/Data/com.apple.CoreML/weights/weight.bin", | |
| "bytes": 552384, | |
| "sha256": "b8f472bf52874cf6fbe92e08333cb1976236fe179a186efeba049f1814ca2f6f" | |
| }, | |
| { | |
| "path": "gliner2_base_explicit_fp16_W64_Q8_S64.mlpackage/Manifest.json", | |
| "bytes": 617, | |
| "sha256": "2f83e83160221b29ce2f9156518bfa6bdaefd94c7c1eabff8de06131374b41d6" | |
| } | |
| ] | |
| }, | |
| { | |
| "package": "gliner2_base_explicit_fp32_W64_Q8_S64.mlpackage", | |
| "bytes": 1152468, | |
| "files": [ | |
| { | |
| "path": "gliner2_base_explicit_fp32_W64_Q8_S64.mlpackage/Data/com.apple.CoreML/model.mlmodel", | |
| "bytes": 48811, | |
| "sha256": "6226a1f7b91ceb1b2528d5eac17fa7b30db7c6e921ebc4a8b1b7ad4b8dca9096" | |
| }, | |
| { | |
| "path": "gliner2_base_explicit_fp32_W64_Q8_S64.mlpackage/Data/com.apple.CoreML/weights/weight.bin", | |
| "bytes": 1103040, | |
| "sha256": "7dded10597f6d93d30f9842d963e6a1ed503a7e1ed53d6f713ee22da38101e1f" | |
| }, | |
| { | |
| "path": "gliner2_base_explicit_fp32_W64_Q8_S64.mlpackage/Manifest.json", | |
| "bytes": 617, | |
| "sha256": "18d42e32e177e558362500e951fdde1310afce5a11435e7a108264c184e42d54" | |
| } | |
| ] | |
| }, | |
| { | |
| "package": "gliner2_base_extraction_features_fp16_L128_W64_Q8.mlpackage", | |
| "bytes": 390998448, | |
| "files": [ | |
| { | |
| "path": "gliner2_base_extraction_features_fp16_L128_W64_Q8.mlpackage/Data/com.apple.CoreML/model.mlmodel", | |
| "bytes": 1046087, | |
| "sha256": "81a989bd9c9791ca2cb2b10c9456795a3f98cb2a41132ad894ec6aae3bee8c58" | |
| }, | |
| { | |
| "path": "gliner2_base_extraction_features_fp16_L128_W64_Q8.mlpackage/Data/com.apple.CoreML/weights/weight.bin", | |
| "bytes": 389951744, | |
| "sha256": "f89a14b93e79bc0c5f03ae1d2afdecabc12d0ba0a6551107efb60d19e2fef913" | |
| }, | |
| { | |
| "path": "gliner2_base_extraction_features_fp16_L128_W64_Q8.mlpackage/Manifest.json", | |
| "bytes": 617, | |
| "sha256": "5b86a3a9736fb9849f4cf6bcae5fd8038332c2ac4106f5ed5fc23a72c4b77ed4" | |
| } | |
| ] | |
| }, | |
| { | |
| "package": "gliner2_base_extraction_features_fp32_L128_W64_Q8.mlpackage", | |
| "bytes": 780899033, | |
| "files": [ | |
| { | |
| "path": "gliner2_base_extraction_features_fp32_L128_W64_Q8.mlpackage/Data/com.apple.CoreML/model.mlmodel", | |
| "bytes": 1012396, | |
| "sha256": "952aba39fb31af06ae240e1c03ce0a9fe065c2e5997d4f455fb0df2055059103" | |
| }, | |
| { | |
| "path": "gliner2_base_extraction_features_fp32_L128_W64_Q8.mlpackage/Data/com.apple.CoreML/weights/weight.bin", | |
| "bytes": 779886020, | |
| "sha256": "3edc72e18c141125c4231b7a3b0d7d0105135271f7deff924818951e6f354ef0" | |
| }, | |
| { | |
| "path": "gliner2_base_extraction_features_fp32_L128_W64_Q8.mlpackage/Manifest.json", | |
| "bytes": 617, | |
| "sha256": "5d9751b4961ccdb017b0e8a01e73920ced48c101a9845164a19741802dc43f8c" | |
| } | |
| ] | |
| }, | |
| { | |
| "package": "gliner2_base_extraction_scorer_fp16_L128_W64_Q8.mlpackage", | |
| "bytes": 903154, | |
| "files": [ | |
| { | |
| "path": "gliner2_base_extraction_scorer_fp16_L128_W64_Q8.mlpackage/Data/com.apple.CoreML/model.mlmodel", | |
| "bytes": 42953, | |
| "sha256": "a28d35b1697ca5877e4c37be3fc73636a6795c7a7fb589aadee053ecbc06d496" | |
| }, | |
| { | |
| "path": "gliner2_base_extraction_scorer_fp16_L128_W64_Q8.mlpackage/Data/com.apple.CoreML/weights/weight.bin", | |
| "bytes": 859584, | |
| "sha256": "63e7a5f12ea123730faf9248e3d5245d8861cda7bdc678a29b6ed10c1c0450a3" | |
| }, | |
| { | |
| "path": "gliner2_base_extraction_scorer_fp16_L128_W64_Q8.mlpackage/Manifest.json", | |
| "bytes": 617, | |
| "sha256": "25563e15f2ec7a511142b626c74007b9816de4fd3729395c2a40ca6da5e6a866" | |
| } | |
| ] | |
| }, | |
| { | |
| "package": "gliner2_base_extraction_scorer_fp32_L128_W64_Q8.mlpackage", | |
| "bytes": 1750631, | |
| "files": [ | |
| { | |
| "path": "gliner2_base_extraction_scorer_fp32_L128_W64_Q8.mlpackage/Data/com.apple.CoreML/model.mlmodel", | |
| "bytes": 32574, | |
| "sha256": "dc02f86228a4c95872de1d6dab5d5a1ca2d89c464ba1df0eb1f4333cc4f517f9" | |
| }, | |
| { | |
| "path": "gliner2_base_extraction_scorer_fp32_L128_W64_Q8.mlpackage/Data/com.apple.CoreML/weights/weight.bin", | |
| "bytes": 1717440, | |
| "sha256": "ab96965841dd7802bb22d3a4d65ac2ef27e4df4daf4be1a49a65d8bc3c87f595" | |
| }, | |
| { | |
| "path": "gliner2_base_extraction_scorer_fp32_L128_W64_Q8.mlpackage/Manifest.json", | |
| "bytes": 617, | |
| "sha256": "753acbe0781d89b5b157da08ce5d75d21f61b0c4f86a9ceafa21d3274df54259" | |
| } | |
| ] | |
| }, | |
| { | |
| "package": "gliner2_base_record_anchorless_fp16_F8_C192_I1536.mlpackage", | |
| "bytes": 1443015, | |
| "files": [ | |
| { | |
| "path": "gliner2_base_record_anchorless_fp16_F8_C192_I1536.mlpackage/Data/com.apple.CoreML/model.mlmodel", | |
| "bytes": 6558, | |
| "sha256": "3ae7e7e6540577572bc1ae82d334d9294dd2bfb2d270cdf5166edcb9ce487495" | |
| }, | |
| { | |
| "path": "gliner2_base_record_anchorless_fp16_F8_C192_I1536.mlpackage/Data/com.apple.CoreML/weights/weight.bin", | |
| "bytes": 1435840, | |
| "sha256": "73f5d6812653173c71dcd666e9477dc275fae42290bb0bfa5aef00e1c721a7f5" | |
| }, | |
| { | |
| "path": "gliner2_base_record_anchorless_fp16_F8_C192_I1536.mlpackage/Manifest.json", | |
| "bytes": 617, | |
| "sha256": "4b6d679bf502518e30cdc5e5a65154a6c37552937301ba9146c4a2057d13f7dd" | |
| } | |
| ] | |
| }, | |
| { | |
| "package": "gliner2_base_record_anchorless_fp32_F8_C192_I1536.mlpackage", | |
| "bytes": 2876843, | |
| "files": [ | |
| { | |
| "path": "gliner2_base_record_anchorless_fp32_F8_C192_I1536.mlpackage/Data/com.apple.CoreML/model.mlmodel", | |
| "bytes": 4994, | |
| "sha256": "fa573f67c4b36f80f02668d377abd244956d1afba07be7d55866080b8188b6ef" | |
| }, | |
| { | |
| "path": "gliner2_base_record_anchorless_fp32_F8_C192_I1536.mlpackage/Data/com.apple.CoreML/weights/weight.bin", | |
| "bytes": 2871232, | |
| "sha256": "f48cb084768846394746b4a39d189a47be19392708075f854af3dfe8076db4cd" | |
| }, | |
| { | |
| "path": "gliner2_base_record_anchorless_fp32_F8_C192_I1536.mlpackage/Manifest.json", | |
| "bytes": 617, | |
| "sha256": "f646f499b1c601271b51c1420dc21ffc68fc983e2a65d4377a2094a094992385" | |
| } | |
| ] | |
| }, | |
| { | |
| "package": "gliner2_base_record_assignment_fp16_F8_C192_I1536.mlpackage", | |
| "bytes": 605158, | |
| "files": [ | |
| { | |
| "path": "gliner2_base_record_assignment_fp16_F8_C192_I1536.mlpackage/Data/com.apple.CoreML/model.mlmodel", | |
| "bytes": 9981, | |
| "sha256": "5ff5970e8851aeae902aac01e4c4586d453b0f39797f342d9a9b2a2791d7e605" | |
| }, | |
| { | |
| "path": "gliner2_base_record_assignment_fp16_F8_C192_I1536.mlpackage/Data/com.apple.CoreML/weights/weight.bin", | |
| "bytes": 594560, | |
| "sha256": "d59545d5a9df722194e38a0a3ee03c6a5f95c58fa9608f4b2f3f6e3f56d0136e" | |
| }, | |
| { | |
| "path": "gliner2_base_record_assignment_fp16_F8_C192_I1536.mlpackage/Manifest.json", | |
| "bytes": 617, | |
| "sha256": "365d8c13d2a88c83072fa7ec640919f817ad87b245c10caf1445cfde6e0dd040" | |
| } | |
| ] | |
| }, | |
| { | |
| "package": "gliner2_base_record_assignment_fp32_F8_C192_I1536.mlpackage", | |
| "bytes": 1196559, | |
| "files": [ | |
| { | |
| "path": "gliner2_base_record_assignment_fp32_F8_C192_I1536.mlpackage/Data/com.apple.CoreML/model.mlmodel", | |
| "bytes": 7462, | |
| "sha256": "63cad042b4d8487a0e6f57eec23a6a69f8687c33720c5213b8d52c1dd2169572" | |
| }, | |
| { | |
| "path": "gliner2_base_record_assignment_fp32_F8_C192_I1536.mlpackage/Data/com.apple.CoreML/weights/weight.bin", | |
| "bytes": 1188480, | |
| "sha256": "5f870796d2a8e0539b20964ebcd80cae65677ed11d4b36b12df9a21d158181c1" | |
| }, | |
| { | |
| "path": "gliner2_base_record_assignment_fp32_F8_C192_I1536.mlpackage/Manifest.json", | |
| "bytes": 617, | |
| "sha256": "991014787fc73007fc398cfe7c77537d241c730ca8363697f2e70478389b95f8" | |
| } | |
| ] | |
| }, | |
| { | |
| "package": "gliner2_base_relation_fp16_W64_R4_P256.mlpackage", | |
| "bytes": 11848707, | |
| "files": [ | |
| { | |
| "path": "gliner2_base_relation_fp16_W64_R4_P256.mlpackage/Data/com.apple.CoreML/model.mlmodel", | |
| "bytes": 32410, | |
| "sha256": "e6562f5850272ffe0b38363da5a85a70492e170e547f58b008021b6a8aa375ec" | |
| }, | |
| { | |
| "path": "gliner2_base_relation_fp16_W64_R4_P256.mlpackage/Data/com.apple.CoreML/weights/weight.bin", | |
| "bytes": 11815680, | |
| "sha256": "1577561a8686c9657ec38df97ff701cbc7b588da3efae6404e33622ab1cc77e5" | |
| }, | |
| { | |
| "path": "gliner2_base_relation_fp16_W64_R4_P256.mlpackage/Manifest.json", | |
| "bytes": 617, | |
| "sha256": "a79be16e25f1d7b5a261a8a2f1a5cd7dea41fc2d18e755338bab5dabf024662c" | |
| } | |
| ] | |
| }, | |
| { | |
| "package": "gliner2_base_relation_fp32_W64_R4_P256.mlpackage", | |
| "bytes": 23661032, | |
| "files": [ | |
| { | |
| "path": "gliner2_base_relation_fp32_W64_R4_P256.mlpackage/Data/com.apple.CoreML/model.mlmodel", | |
| "bytes": 29823, | |
| "sha256": "5970ae822c86e3f11ef86341034824661fa10184730953ac4bcdb7086e87a6ea" | |
| }, | |
| { | |
| "path": "gliner2_base_relation_fp32_W64_R4_P256.mlpackage/Data/com.apple.CoreML/weights/weight.bin", | |
| "bytes": 23630592, | |
| "sha256": "1dd7c8e640688002c174080710cc5ba3fa32c5dc399b52ef0bf7f4c5ef8d01cb" | |
| }, | |
| { | |
| "path": "gliner2_base_relation_fp32_W64_R4_P256.mlpackage/Manifest.json", | |
| "bytes": 617, | |
| "sha256": "22d5d1c3db4225665d32ae55f8266c9c3ff6980bfe7c60db655529b8dfefbba9" | |
| } | |
| ] | |
| } | |
| ], | |
| "runtime_files": [ | |
| { | |
| "path": "config.json", | |
| "bytes": 3150, | |
| "sha256": "0eb92d00584d613aab32b2178f84a85176b62c87ae3689ce9084e83f6eba64d1" | |
| }, | |
| { | |
| "path": "tokenizer/tokenizer_config.json", | |
| "bytes": 645, | |
| "sha256": "0bf3ea0873234bd9bfdd3853c440395009ac6365a925b91654daed5396d655e1" | |
| }, | |
| { | |
| "path": "tokenizer/tokenizer.json", | |
| "bytes": 8341713, | |
| "sha256": "cbc8ae6037812709c9c26f2a160f8dc48b0440bcb79c8141804259ae2d6adac3" | |
| } | |
| ] | |
| } | |