GLiNER icon indicating copy to clipboard operation
GLiNER copied to clipboard

Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024

Results 45 GLiNER issues
Sort by recently updated
recently updated
newest added

How to specify parameters like warmup_ratio, dropout in finetuning?

Hi team, I'm running inference on a g5.24xlarge GPU instance. The data is currently structured in a Pandas dataframe. I use Pandas apply method to apply the predict_entities function. When...

I am working on medical entities extraction on some report text using GLiNER spacy. Is t there any way I can integrate below code with current extraction logic. Current model...

I am using the model urchade/gliner_multi_pii-v1 ![GLiNER_fine_tuning_error](https://github.com/urchade/GLiNER/assets/1464312/f5129190-6d3a-4025-98aa-0fa851ee8f9e)

Name: gliner Version: 0.1.13 I tried the getting started colab demo notebook, but the person entities were not detected. Marius Petipa & Charles Nodier => person ``` from gliner import...

What is the best way to chunk longer texts so each chunk fits under the 384 words (or 512 subtokens) ? My articles on the average are around 1200 tokens...

Within the class method `_from_pretrained` in module model.py of latest version of the package (currently gliner==0.1.12) there is the following call (line 421) ```model.load_state_dict(state_dict, strict=strict, assign=True)``` where `model` is a...

Hi, I see as possible to return confidence from 'predict' into 'predict_entities'. That way False Positive cases could be eliminated. Best regards Dinu Serghei

when my i am using model with fastpai it is giving null for all input .

Hi, just wanted to ask if there's any plan to making GLiNER models compatible with @tomaarsen https://github.com/tomaarsen/SpanMarkerNER package to make fientuning easier since that package already provides several functionalities for...