# The models are taken from https://github.com/microsoft/table-transformer/
# Original model now on MSFT org: https://huggingface.co/microsoft/table-transformer-detection
I have built a HuggingFace Space: https://huggingface.co/spaces/SalML/TableTransformer2CSV
It runs an OCR on the table-transformer output image to obtain a CSV downloadable table.

{"language": "en", "license": "unknown", "tags": ["detr"], "datasets": ["PubTables-1M"]}
transformers pytorch detr object-detection en dataset:PubTables-1M license:unknown endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #detr #object-detection #en #dataset-PubTables-1M #license-unknown #endpoints_compatible #has_space #region-us 

# The models are taken from URL
# Original model now on MSFT org: URL
I have built a HuggingFace Space: URL
It runs an OCR on the table-transformer output image to obtain a CSV downloadable table.

# The models are taken from URL # Original model now on MSFT org: URL
I have built a HuggingFace Space: URL
It runs an OCR on the table-transformer output image to obtain a CSV downloadable table.
TAGS
#transformers #pytorch #detr #object-detection #en #dataset-PubTables-1M #license-unknown #endpoints_compatible #has_space #region-us 
 # The models are taken from URL # Original model now on MSFT org: URL
I have built a HuggingFace Space: URL
It runs an OCR on the table-transformer output image to obtain a CSV downloadable table.
passage: TAGS
#transformers #pytorch #detr #object-detection #en #dataset-PubTables-1M #license-unknown #endpoints_compatible #has_space #region-us 
# The models are taken from URL# Original model now on MSFT org: URL
I have built a HuggingFace Space: URL
It runs an OCR on the table-transformer output image to obtain a CSV downloadable table.