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README.md
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library_name: transformers
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:**
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- **Funded by
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- 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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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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<!-- 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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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **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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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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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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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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---
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library_name: transformers
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datasets:
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- yzk/veda-ocr-ms
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language:
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- sa
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metrics:
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- cer
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- chrf
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base_model:
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- microsoft/trocr-large-printed
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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OCR for Vedic texts printed in Devanagari.
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**Note**
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This version is limited to a type of texts with accents marked by vertical lines over Devanagari characters.
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## Model Details
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** https://huggingface.co/yzk
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- **Funded by:** https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-23K18646/
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<!-- - **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed] -->
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<!-- ### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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<!-- - **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed] -->
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<!-- ## Uses -->
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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<!-- ### Direct Use -->
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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<!-- [More Information Needed] -->
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<!-- ### Downstream Use [optional] -->
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<!-- 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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<!-- [More Information Needed] -->
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<!-- ### Out-of-Scope Use -->
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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<!-- [More Information Needed] -->
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<!-- ## Bias, Risks, and Limitations -->
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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<!-- [More Information Needed] -->
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<!-- ### Recommendations -->
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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<!-- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. -->
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<!-- ## How to Get Started with the Model -->
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<!-- Use the code below to get started with the model. -->
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<!-- [More Information Needed] -->
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## Training Details
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<!-- 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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<!-- [More Information Needed] -->
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Schroeder's edition of Maitrāyaṇī Sam̐hitā: https://huggingface.co/datasets/yzk/veda-ocr-ms (will be public)
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<!-- ### Training Procedure -->
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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<!-- #### Preprocessing [optional] -->
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<!-- [More Information Needed] -->
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#### Training Hyperparameters
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- **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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```yaml
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params:
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max_length: 512
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train_batch_size: 16
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eval_batch_size: 16
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learning_rate: 2e-5
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weight_decay: 0.01
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save_total_limit: 3
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num_train_epochs: 20
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logging_steps: 2
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save_steps: 2000
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eval_steps: 200
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```
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<!-- #### Speeds, Sizes, Times [optional] -->
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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<!-- [More Information Needed] -->
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## Evaluation
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<!-- ## Model Examination [optional] -->
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<!-- Relevant interpretability work for the model goes here -->
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<!-- [More Information Needed] -->
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<!-- ## Environmental Impact -->
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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<!-- 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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<!-- - **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed] -->
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<!-- ## Technical Specifications [optional] -->
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<!-- ### Model Architecture and Objective -->
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<!-- [More Information Needed] -->
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<!-- ### Compute Infrastructure -->
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<!-- [More Information Needed] -->
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<!-- #### Hardware -->
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<!-- [More Information Needed] -->
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<!-- #### Software -->
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<!-- [More Information Needed] -->
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## Citation [optional]
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[More Information Needed]
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<!-- ## Glossary [optional] -->
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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<!-- [More Information Needed] -->
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<!-- ## More Information [optional] -->
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<!-- [More Information Needed] -->
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<!-- ## Model Card Authors [optional] -->
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<!-- [More Information Needed] -->
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<!-- ## Model Card Contact -->
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<!-- [More Information Needed] -->
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