Text Classification
Core ML
GLiNER2
coremltools
extractor
apple-silicon
classification
decision-model
Instructions to use FluidInference/gliner2-5-decide-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use FluidInference/gliner2-5-decide-coreml with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("FluidInference/gliner2-5-decide-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
File size: 1,062 Bytes
628e2fd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | {
"source": "fastino/GLiNER2.5-Decide",
"revision": "65624f1a0265b3f612bae66a2685a06b94a68a9d",
"dataset": "fastino/fast-decisions",
"dataset_revision": "1a33070cabf94ce2e29105482dd2ef6c157ad7f2",
"files": {
"config.json": {
"size": 594,
"sha256": "e748e5b80575471c91b3f0dd00f513ba58242544fcb7e1236e0021e61abd7673"
},
"encoder_config/config.json": {
"size": 920,
"sha256": "bd32f1484ba5a199f7a63df44df3814b839fffcf6e64478323c4689868ef6015"
},
"model.safetensors": {
"size": 1945828140,
"sha256": "40a5a23ff860dc3dff426cecd1048cacdd29c648c96db209dad818e9686dc997"
},
"special_tokens_map.json": {
"size": 2414,
"sha256": "84ea70143f533d7e99b393d87f20010887a9ac2cba955828ef313886e4e83f4f"
},
"tokenizer.json": {
"size": 8333952,
"sha256": "3ad87d9ffe669147063e70850927dd2da90249e2acc5c8527f1eb65df467bcc8"
},
"tokenizer_config.json": {
"size": 3356,
"sha256": "323199a4e946039410899f3779f2aa3eaef1500213c512727ad0f623d4f21309"
}
}
}
|