GLiNER
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Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
https://github.com/urchade/GLiNER/blob/e15c22a01b1a018674f725428ba1325c723df307/gliner/model.py#L100 This will error out on a `KeyError` because it is using numeric indices to look up keys that can be strings. This happens, when `entity_types` are provided to the...
Dear author, has the file examples/finetune.ipynb included negative entity sampling yet? If not, how can we adjust it to incorporate negative entity sampling?
@urchade Is there a plan for an ONNX exporter? Have you experimented with using GLiNER with ONNX models for inference? I'm quite curious if you've explored that avenue already! :-)
I find it truly fascinating! Have you come across any methods similar to pruning, distillation, or quantization that could be applied to this model? While I'm aware of some size...
Hello, Is there a way to capture relationship between entities ? For example, I have a house with two floor, floor 1 has a kitchen, nook and living room. Floor...
I've found that the model has different behaviour depending on the case of the labels. For example, I've found a case in which if a label has a capital letter,...
I want to use Gliner on CPU . The medium model takes anywhere between 18- 20 minutes for extracting entities from given text. My question is, 1. Does Gliner support...
GLiNER.from_pretrained raises OSError: config.json file not found in Hugging Face model repository
I encountered an issue when trying to load the urchade/gliner_large-v1 model using the GLiNER.from_pretrained method. The process fails with an OSError, indicating that the config.json file is not found in...
I tried to run the fine-tuning example in `examples/finetune.ipynb` (without any change) but when I call `trainer.train()` I get the following error for each training step: ``` Skipping iteration due...
**My text is :** ``` Detect SSN,DOB,CreditCard,CVV,Expiration, and Gender in the following and anonymize them by replacing with fictitious data. Note Do not not mask the data: Michael Brown,345-67-8901,07/30/1978,3400 0000...