A newer version of the Streamlit SDK is available:
1.40.1
metadata
'[object Object]': null
{{ model_id | default("MyModelName", true)}}
Table of Contents
- Model Details
- How To Get Started With the Model
- Uses
- Limitations and Biases
- Training
- Evaluation Results
- Environmental Impact
- Licensing Information
- Citation Information
Model Details
{{ model_description if model_description else "[More Information Needed]" }}
- Developed by: {{ authors if authors }}
- Language(s): {{ languages }}
- License: This model is licensed under the {{ license }}{{ " license" if "license" not in license.lower() }}
- Resources for more information: {{ " - [Research Paper](" + paper_url + ")" if paper_url }} {{ " - [GitHub Repo](" + github_url + ")" if github_url }}
How to Get Started with the Model
Use the code below to get started with the model.
# A nice code snippet here that describes how to use the model...
Uses
Direct Use
[More Information Needed]
Downstream Use
[More Information Needed]
Misuse and Out-of-scope Use
[More Information Needed]
Limitations and Biases
CONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propogate historical and current stereotypes.
[More Information Needed]
Training
Training Data
See the data card for additional information.
Training Procedure
[More Information Needed]
Evaluation Results
[More Information Needed]
Environmental Impact
You can estimate carbon emissions using the Machine Learning Impact calculator presented in Lacoste et al. (2019)
- Hardware Type:
- Hours used:
- Cloud Provider:
- Compute Region:
- Carbon Emitted: {{ emissions if emissions }}
Citation Information
{{ bibtex_citations if bibtex_citations }}