gwkrsrch2
gwkrsrch2/siglip2-so400m-patch16-384
No description available.
Model Documentation
Model Card for Model ID
Provide a quick summary of what the model is/does. -->
Model Details
Model Description
Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Model Sources [optional]
Provide the basic links for the model. -->
Uses
Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
Direct Use
This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
Downstream Use [optional]
This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
Out-of-Scope Use
This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
Bias, Risks, and Limitations
This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
Recommendations
This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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
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. -->
[More Information Needed]
Training Procedure
This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#
Preprocessing [optional]
[More Information Needed]
#
Training Hyperparameters
#
Speeds, Sizes, Times [optional]
This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
Evaluation
This section describes the evaluation protocols and provides the results. -->
Testing Data, Factors & Metrics
#
Testing Data
This should link to a Dataset Card if possible. -->
[More Information Needed]
#
Factors
These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[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
Model Examination [optional]
Relevant interpretability work for the model goes here -->
[More Information Needed]
Environmental Impact
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 presented in Lacoste et al. (2019).
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]
If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
BibTeX:
[More Information Needed]
APA:
[More Information Needed]
Glossary [optional]
If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
More Information [optional]
[More Information Needed]
Model Card Authors [optional]
[More Information Needed]
Model Card Contact
[More Information Needed]
Files & Weights
| Filename | Size | Action |
|---|---|---|
| model.safetensors | 1.60 GB |