GLiNER

GLiNER copied to clipboard

Train on data without entities

1

Hi. I want to finetune a model on data where some of them do not contain entities (so that there is less fp). I tried to do it with such...

AnnaKholkina

Returned entities don't provide information

1

Model version : "knowledgator/gliner-multitask-large-v0.5", "urchade/gliner_multi-v2.1", Issue : I used those 2 models to detect ["name_surname", "email","organization", "phone_number"], but some returned entities didn't bring any useful information. Examples : 'phone_number': ['numéro',...

Xiaomin-HUANG

Unable to load model in offline mode

2

Hello I am unable to load a model in offline mode (i.e., from a local directory). Surprisingly, this works for the model `urchade/gliner_multi` but not for the model `urchade/gliner_multi-v2.1`. Other...

apeuvotepf

Question about max_types

2

Excellent job! I'd like to inquire about the 'max_types' setting. Suppose 'max_types' is configured to a limit of 25; does this imply that we cannot employ more than 25 types...

eshoyuan

Is anyone working on GLiNER for MLX by chance?

wjbmattingly

Error while fine-tuning model using example from "examples/finetune.ipynb": `RuntimeError: shape '[8, 129, 12, 512]' is invalid for input of size 8306688`

21

Hi! I've been experimenting with this model for a few things, and so far I like where it's going. I want to attempt some fine-tuning, so I followed the same...

BradyBonnette

Onnx converted model has slower inference

3

I finetuned gliner small v2.1 model and created onnx version of the same model using the convert_to_onnx.ipynb exmple code. When I compared the inference time of both models, the onnx...

yogitavm

I am fine-tuning the [GLiNER-medium-v2.1] on custom data and need to apply quantization for performance optimization. I am looking for guidance on: Supported Quantization Methods: 1. Which methods (e.g., Post-training,...

Agrim1210

I hope you're doing well. I have a question regarding the usage of a custom tokenizer after training a model using your library. I have trained a model using the...

uraibeefnn

Order of labels impacts detection confidence scores

2

I'm using the PII model using the following script: ``` model = GLiNER.from_pretrained("urchade/gliner_multi_pii-v1") model.eval() entities = model.predict_entities(text, labels) for entity in entities: print(entity["text"], "=>", entity["label"], "=>", entity["score"] ) ``` If...

saibhamidipati