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