Model Card for Model ID
Model Details
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: [Tinyefuza Joe, Maria.J.Nabaccwa, Adam Katongole]
- Model type: [Audio transcription]
- License: [MIT]
- Finetuned from model: [OpenAI whisper-small]
Model Sources
Uses
Direct Use
[This model is completely free for use, just make an implementation of it in your application. However, fine tuning it requires special permission from the creators]
Downstream Use
[When allowed to fine tune this model, you will be required to only train it on audio transcription and any other use will be prohibited]
Out-of-Scope Use
[Illegal use or unauthorized fine tuning of this model will be against our terms and will result into expulsion of the individual from using all our models and datsets and a possible escalation to the huggingface corp.]
Bias, Risks, and Limitations
[This model is not perfect and should be used ethically. Decisions rooting from its use are completely in the user's or developer's hands. Our team shall not be accountable on these issues at all.]
Recommendations
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 use with the model on huggingface.
[model = AutoModel.from_pretrained("jojo007unfi/my-finetuned-whisper-model", dtype="auto")]
Training Details
Training Data
[More Information Needed]
Training Procedure
Preprocessing [optional]
[More Information Needed]
Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
[More Information Needed]
Evaluation
Testing Data, Factors & Metrics
Testing Data
[More Information Needed]
Factors
[More Information Needed]
Metrics
[More Information Needed]
Results
[More Information Needed]
Summary
Model Examination [optional]
[More Information Needed]
Environmental Impact
Carbon emissions can be estimated using the
Machine Learning Impact calculator presented in
Lacoste et al. (2019).
- 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 [optional]
Model Architecture and Objective
[More Information Needed]
Compute Infrastructure
[More Information Needed]
Hardware
[More Information Needed]
Software
[More Information Needed]
Citation [optional]
BibTeX:
[More Information Needed]
APA:
[More Information Needed]
Glossary [optional]
[More Information Needed]
More Information [optional]
[More Information Needed]
Model Card Authors [optional]
[More Information Needed]
Model Card Contact
[More Information Needed]