File size: 1,005 Bytes
5fa1a76 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 |
words = ["hello", "world"]
boxes = [[1, 2, 3, 4], [5, 6, 7, 8]] # make sure to normalize your bounding boxes
encoding = processor(image, question, words, boxes=boxes, return_tensors="pt")
print(encoding.keys())
dict_keys(['input_ids', 'token_type_ids', 'attention_mask', 'bbox', 'image'])
LayoutLMv2Config
[[autodoc]] LayoutLMv2Config
LayoutLMv2FeatureExtractor
[[autodoc]] LayoutLMv2FeatureExtractor
- call
LayoutLMv2ImageProcessor
[[autodoc]] LayoutLMv2ImageProcessor
- preprocess
LayoutLMv2Tokenizer
[[autodoc]] LayoutLMv2Tokenizer
- call
- save_vocabulary
LayoutLMv2TokenizerFast
[[autodoc]] LayoutLMv2TokenizerFast
- call
LayoutLMv2Processor
[[autodoc]] LayoutLMv2Processor
- call
LayoutLMv2Model
[[autodoc]] LayoutLMv2Model
- forward
LayoutLMv2ForSequenceClassification
[[autodoc]] LayoutLMv2ForSequenceClassification
LayoutLMv2ForTokenClassification
[[autodoc]] LayoutLMv2ForTokenClassification
LayoutLMv2ForQuestionAnswering
[[autodoc]] LayoutLMv2ForQuestionAnswering |