# GLiNER ONNX Models Properties
## Model Properties in Span Mode
### Input
* `input_ids` : `int64[batch_size,sequence_length]`
* `attention_mask` : `int64[batch_size,sequence_length]`
* `words_mask` : `int64[batch_size,sequence_length]`
* `text_lengths` : `int64[batch_size,value]`
* `span_idx` : `int64[batch_size,num_spans,idx]`
* `span_mask` : `boolean[batch_size,num_spans]`
### Output
* `logits` : `float32[batch_size,sequence_length,num_spans,num_classes]`
## Model Properties in Token Mode
### Input
* `input_ids`: `int64[batch_size,sequence_length]`
* `attention_mask`: `int64[batch_size,sequence_length]`
* `words_mask`: `int64[batch_size,sequence_length]`
* `text_lengths: int64[batch_size,value]`
### Output
* `logits`: `float32[position,batch_size,sequence_length,num_classes]`