---
license: # See note below on choosing a license.
language:
- en
library_name: # Allows for Inference API widget on sidebar of model card
tags:
- biology
- CV
- images
- animals
datasets: # Adds link if on HF & shows up on sidebar. Ex: imageomics/TreeOfLife-10M
metrics: # key list: https://hf.co/metrics
---
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NOTE: Add more tags (your particular animal, type of model and use-case, etc.).
As with your GitHub Project repo, it is important to choose an appropriate license for your model. Alongside the appropriate stakeholders (eg., your PI, co-authors), select a license that is [Open Source Initiative](https://opensource.org/licenses) (OSI) compliant. You may also wish to consider adding a [RAIL license](https://www.licenses.ai/ai-licenses), which addresses responsible use.
For more information on how to choose a license and why it matters, see [Choose A License](https://choosealicense.com) and [A Quick Guide to Software Licensing for the Scientist-Programmer](https://doi.org/10.1371/journal.pcbi.1002598) by A. Morin, et al.
See the [Imageomics policy for licensing](https://docs.google.com/document/d/1SlITG-r7kdJB6C8f4FCJ9Z7o7ccwldZoSRJKjhRAWVA/edit#heading=h.c1sxg0wsiqru) for more information.
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|**Figure #.** [Image of <>](https://huggingface.co/imageomics/<model-repo>/raw/main/<filepath>) <caption description>.|
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# Model Card for [Model Name]
<!-- Provide a quick summary of what the model is/does.
This model card aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1), and further altered to suit Imageomics Institute needs. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed -- choose a license (see above notes)]
- **Fine-tuned from model:** [More Information Needed]
### Model Sources
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- **Repository:** [Project Repo]
- **Paper:** [More Information Needed--optional]
- **Demo:** [More Information Needed--encouraged]
## Uses
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### Direct Use
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[More Information Needed]
### Downstream Use
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### Out-of-Scope Use
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## Bias, Risks, and Limitations
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### Recommendations
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## How to Get Started with the Model
Use the code below to get started with the model.
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```​
<code here>
```​
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[More Information Needed]
## Training Details
### Training Data
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Provide a basic overview of the training data and documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
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#### Preprocessing
[More Information Needed--encouraged]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times
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[More Information Needed]
## Evaluation
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[More Information Needed]
### Testing Data, Factors & Metrics
#### Testing Data
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Provide a basic overview of the test data and documentation related to any data pre-processing or additional filtering. -->
[More Information Needed]
#### Factors
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[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
[More Information Needed]
## Model Examination
<!-- [optional] Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
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It would be great to try to include this.
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://doi.org/10.48550/arXiv.1910.09700).
- **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
[More Information Needed--optional]
### Model Architecture and Objective
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### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed: hardware requirements]
#### Software
[More Information Needed]
## Citation
<!-- If there is a paper introducing the model, the Bibtex information for that should go in this section.
See notes at top of file about selecting a license.
If you choose CC0: This model is dedicated to the public domain for the benefit of scientific pursuits. We ask that you cite the model and journal paper using the below citations if you make use of it in your research.
-->
**BibTeX:**
[More Information Needed]
<!--
Replace "<>"s with your info:
If you use our model in your work, please cite the model and associated paper.
**Model**
```​
@software{<ref_code>,
author = {<author1 and author2>},
doi = {<doi once generated>},
title = {<title>},
version = {<version#>},
year = {<year>},
url = {https://huggingface.co/imageomics/<model_name>}
}
```​
-for an associated paper:
**Paper**
```​
@article{<ref_code>,
title = {<title>},
author = {<author1 and author2>},
journal = {<journal_name>},
year = <year>,
url = {<DOI_URL>},
doi = {<DOI>}
}
```​
-->
## Acknowledgements
This work was supported by the [Imageomics Institute](https://imageomics.org), which is funded by the US National Science Foundation's Harnessing the Data Revolution (HDR) program under [Award #2118240](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2118240) (Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
## Glossary
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## More Information
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## Model Card Authors
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## Model Card Contact
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