language: en
license: mit
model-card-testing
Model Details
- Developed by: testing author
- Model type: testing type
- Language(s): Language(s) of the model
- License: License for the model
- Model Description: testing description
Intended Uses & Limitations
This model can be used for .
How to Use
You can get started with the model with code like the following:
# You can include sample code which will be formatted
Here is how to use this model to get the features of a given text in Pytorch:
# PyTorch usage
and in TensorFlow:
# Tensorflow usage
Limitations and Bias
CONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propogate historical and current stereotypes.
This model can have biased predictions. For example:
# Example of biased predictions
Training Data
Describe the data you used to train the model. If you initialized it with pre-trained weights, add a link to the pre-trained model card or repository with description of the pre-training data.
Training Procedure
Preprocessing, hardware used, hyperparameters...
Evaluation Results
Provide some evaluation results.
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 (Power consumption x Time x Carbon produced based on location of power grid):
BibTeX Entry and Citation Info
@inproceedings{...,
year={2020}
}