Instructions to use Mbiot/gliner-custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use Mbiot/gliner-custom with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("Mbiot/gliner-custom") - Notebooks
- Google Colab
- Kaggle
File size: 438 Bytes
84785b9 b121d58 84785b9 b121d58 84785b9 ca90b41 b121d58 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | from gliner import GLiNER
from typing import Dict, List, Any
class EndpointHandler():
def __init__(self, path=""):
self.model = GLiNER.from_pretrained(path)
def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
# get inputs
inputs = data.pop("inputs", data)
labels = data.pop("labels", None)
prediction = self.model.predict_entities(inputs, labels)
return prediction |