Configuration Parsing Warning: In adapter_config.json: "peft.task_type" must be a string

Model Card for Model ID

Model Details

Model Description

  • 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]

  • Repository: [More Information Needed]
  • Paper [optional]: [More Information Needed]
  • Demo [optional]: [More Information Needed]

Uses

Prompt examples:

  1. Json format:

"""Extruct the schema of all the tables in the image sorted according to the reading order (left-right top-bottom). The output must be a valid JSON object containing a list of dictionaries with the following structure:

            [{
                "dimensions": {
                    "rows": <number of data rows (excluding header rows)>,
                    "columns": <number of columns>,
                    "header_rows": <number of header rows>,
                    "total_rows": <total number of rows including headers>
                },
                "cells": [{
                    "row": <row index starting at 1>,
                    "col": <column index starting at 1>,
                    "colspan": <number of columns spanned>,
                    "rowspan": <number of rows spanned>,
                    "type": "<'header' or 'data'>",
                    "header_level": <header nesting level if type=header, else omit or null>,
                    "content": "<string content of the cell>"
                    },
                    ...
                ]
            }
            ...
            ]

"""

  1. Html Format:

"""Extruct the schema of all the tables in the image sorted according to the reading order (left-right top-bottom).\nThe output must be a list of valid HTML tables"""

  1. Otsl format:

"""Extruct the schema of all the tables in the image sorted according to the reading order (left-right top-bottom). The output must be a list of valid OTSL objects, each consists of the following fields:

                    <fcel> - a cell with content in it                        
                    <ecel> - an empty cell                        
                    <lcel> - a cell that is merged with the cell to its left                        
                    <ucel> - a cell that is merged with the cell above it                        
                    <xcel> - a cell that is merged with both the cell above it and the cell to its left                        
                    <nl> - a new line                        
                    <ched> - a clumn header                        
                    <otsl> - the beginning of the OTSL table                        
                    </otsl> - the end of the OTSL table                        

                    An example for an output:
                    
                    [
                    <otsl><ched>first table header1<ched>first table header2<nl><fcel>data1<fcel>data2<nl><fcel>data with horizontal span<lcel><nl><fcell>data with vertical span<ecel><nl><ucel><fcel>data3<nl></otsl>,\n
                    <otsl><ched>second table header1<ched>second table header2<nl><fcel>data1<fcel>data2<nl><fcel>data with horizontal span<lcel><nl><fcell>data with vertical span<ecel><nl><ucel><fcel>data3<nl></otsl>\n
                    ]

"""

Direct Use

[More Information Needed]

Downstream Use [optional]

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]

Training Details

Training Data

[More Information Needed]

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

  • Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

[More Information Needed]

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Summary

Model Examination [optional]

[More Information Needed]

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

  • Hardware Type: [More Information Needed]
  • Hours used: [More Information Needed]
  • Cloud Provider: [More Information Needed]
  • Compute Region: [More Information Needed]
  • Carbon Emitted: [More Information Needed]

Technical Specifications [optional]

Model Architecture and Objective

[More Information Needed]

Compute Infrastructure

[More Information Needed]

Hardware

[More Information Needed]

Software

[More Information Needed]

Citation [optional]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

[More Information Needed]

More Information [optional]

[More Information Needed]

Model Card Authors [optional]

[More Information Needed]

Model Card Contact

[More Information Needed]

Framework versions

  • PEFT 0.15.2
Downloads last month
40
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for granite-vision-dev/granite-vision-33-2b-tables

Adapter
(1)
this model

Collection including granite-vision-dev/granite-vision-33-2b-tables

Paper for granite-vision-dev/granite-vision-33-2b-tables