Open deepanshudashora opened 2 years ago
I was testing it on layoutlmv3 and I am facing one error
--------------------------------------------------------------------------- TypeError Traceback (most recent call last) [<ipython-input-47-f0c042620a72>](https://localhost:8080/#) in <module> ----> 1 word_attributions = ner_explainer(Image.open("/content/receipt_00073.png").convert("RGB"), ignored_labels=['O']) 3 frames [/usr/lib/python3.7/re.py](https://localhost:8080/#) in sub(pattern, repl, string, count, flags) 192 a callable, it's passed the Match object and must return 193 a replacement string to be used.""" --> 194 return _compile(pattern, flags).sub(repl, string, count) 195 196 def subn(pattern, repl, string, count=0, flags=0): TypeError: expected string or bytes-like object
The code I am using is
from transformers_interpret import TokenClassificationExplainer cls_explainer = ner_explainer = TokenClassificationExplainer( model, processor.tokenizer, ) word_attributions = ner_explainer(Image.open("/content/receipt_00073.png").convert("RGB"), ignored_labels=['O'])
Hi, I have a similar use case with LayoutLMv3ForTokenClassification and LayoutLMv3Processor. Would it be possible to intepret these models for token classification for datasets like SROIE?
LayoutLMv3ForTokenClassification
LayoutLMv3Processor
I was testing it on layoutlmv3 and I am facing one error
The code I am using is