Fine tuning LayoutLMv2 model on Vietnamese bill dataset 
```python
from transformers import LayoutLMv2ForTokenClassification
model = LayoutLMv2ForTokenClassification.from_pretrained('cuongngm/layoutlm-bill', num_labels=len(labels))
```

labels = ['price',
 'storename',
 'total_cost',
 'phone',
 'address',
 'unitprice',
 'item',
 'subitem',
 'other',
 'time',
 'unit',
 'total refunds',
 'total_qty',
 'seller',
 'total_received']
{}
transformers pytorch layoutlmv2 token-classification autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #layoutlmv2 #token-classification #autotrain_compatible #endpoints_compatible #region-us 

Fine tuning LayoutLMv2 model on Vietnamese bill dataset 


labels = ['price',
 'storename',
 'total_cost',
 'phone',
 'address',
 'unitprice',
 'item',
 'subitem',
 'other',
 'time',
 'unit',
 'total refunds',
 'total_qty',
 'seller',
 'total_received']
TAGS
#transformers #pytorch #layoutlmv2 #token-classification #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #layoutlmv2 #token-classification #autotrain_compatible #endpoints_compatible #region-us 
