Instructions to use FluidInference/gliner2-5-small-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use FluidInference/gliner2-5-small-coreml with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("FluidInference/gliner2-5-small-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 assets.lock.json from FluidInference/gliner2-5-small-coreml: direct link, hf CLI and curl.
- Browser
- Download file 815 Bytes
-
https://huggingface.co/FluidInference/gliner2-5-small-coreml/resolve/main/assets.lock.json
- Command line
-
hf download hf://FluidInference/gliner2-5-small-coreml/assets.lock.json
-
curl -L -o assets.lock.json https://huggingface.co/FluidInference/gliner2-5-small-coreml/resolve/main/assets.lock.json
815 Bytes
| { | |
| "source": "fastino/gliner2.5-small-v1", | |
| "revision": "7e6f537f10337497069276892a5ef435028252ce", | |
| "files": { | |
| "config.json": { | |
| "size": 3152, | |
| "sha256": "0b7d9e1401ceeb83e992ec66d2f93bff7e5646428f1b4706ec527cf88f53578a" | |
| }, | |
| "encoder_config/config.json": { | |
| "size": 856, | |
| "sha256": "db837d0dc587f5858687ef860c1f400de10f3c3e44f88daef8cbda80d74e4c9c" | |
| }, | |
| "model.safetensors": { | |
| "size": 295567700, | |
| "sha256": "4ee982787ace270d4bf15dbcb28ced38e0aa201372347114ceedd6336055de2b" | |
| }, | |
| "tokenizer.json": { | |
| "size": 8341713, | |
| "sha256": "cbc8ae6037812709c9c26f2a160f8dc48b0440bcb79c8141804259ae2d6adac3" | |
| }, | |
| "tokenizer_config.json": { | |
| "size": 645, | |
| "sha256": "0bf3ea0873234bd9bfdd3853c440395009ac6365a925b91654daed5396d655e1" | |
| } | |
| } | |
| } | |