farhanishraq
/

table_tr-finetuned-bs

@@ -1,11 +1,13 @@
 ---
 library_name: transformers
-tags: []
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
@@ -15,15 +17,11 @@ tags: []
 <!-- Provide a longer summary of what this model is. -->
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
 ### Model Sources [optional]
@@ -43,9 +41,6 @@ This is the model card of a 🤗 transformers model that has been pushed on the
 [More Information Needed]
-### Downstream Use [optional]
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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@@ -55,9 +50,6 @@ This is the model card of a 🤗 transformers model that has been pushed on the
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-## Bias, Risks, and Limitations
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@@ -75,12 +67,6 @@ Use the code below to get started with the model.
 ## Training Details
-### Training Data
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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 ### Training Procedure
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@@ -94,9 +80,6 @@ Use the code below to get started with the model.
 - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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@@ -104,11 +87,6 @@ Use the code below to get started with the model.
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-### Testing Data, Factors & Metrics
-#### Testing Data
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@@ -132,68 +110,3 @@ Use the code below to get started with the model.
-## Model Examination [optional]
-<!-- Relevant interpretability work for the model goes here -->
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-## Environmental Impact
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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 ---
 library_name: transformers
+tags:
+- table transformer
+- bank statements
 ---
+# Bank Statement Structure Detection
+A table structure detection model capable of parsing bank statements.
 <!-- Provide a longer summary of what this model is. -->
+This is the model card of bank statement table structure detection model, finetuned on a custom dataset collected from personal bank statements.
+It is capable of detecting rows and columns from Chase and Bank of America.
+- **Developed by:** Ahmad Farhan Ishraq
+- **Finetuned from model [optional]:** microsoft/table-transformer-detection
 ### Model Sources [optional]
 [More Information Needed]
 [More Information Needed]
 [More Information Needed]
 [More Information Needed]
 ## Training Details
 ### Training Procedure
 <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
 - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
 [More Information Needed]
 <!-- This section describes the evaluation protocols and provides the results. -->
 [More Information Needed]