Disclaimer: The team releasing Table Transformer did not write a model card for this model so this model card has been written by the Hugging Face team.
Model description
The Table Transformer is equivalent to
DETR
, a Transformer-based object detection model. Note that the authors decided to use the "normalize before" setting of DETR, which means that layernorm is applied before self- and cross-attention.
Usage
You can use the raw model for detecting tables in documents. See the
documentation
for more info.
Runs of breezedeus pix2text-table-rec on huggingface.co
1.1K
Total runs
-13
24-hour runs
-19
3-day runs
-90
7-day runs
-716
30-day runs
More Information About pix2text-table-rec huggingface.co Model
pix2text-table-rec huggingface.co is an AI model on huggingface.co that provides pix2text-table-rec's model effect (), which can be used instantly with this breezedeus pix2text-table-rec model. huggingface.co supports a free trial of the pix2text-table-rec model, and also provides paid use of the pix2text-table-rec. Support call pix2text-table-rec model through api, including Node.js, Python, http.
pix2text-table-rec huggingface.co is an online trial and call api platform, which integrates pix2text-table-rec's modeling effects, including api services, and provides a free online trial of pix2text-table-rec, you can try pix2text-table-rec online for free by clicking the link below.
breezedeus pix2text-table-rec online free url in huggingface.co:
pix2text-table-rec is an open source model from GitHub that offers a free installation service, and any user can find pix2text-table-rec on GitHub to install. At the same time, huggingface.co provides the effect of pix2text-table-rec install, users can directly use pix2text-table-rec installed effect in huggingface.co for debugging and trial. It also supports api for free installation.