My Finetuned Whisper Model
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Source du modèle
- Type
- LoRA
- Taille du fichier
- 40 B
- Modèle de base
- openai/whisper-small
- Version
- vadapter_model
- Mis à jour
- 25 oct. 2026
- Source
- Hugging Face
Description de la source
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
- Repository: [https://huggingface.co/jojo007unfi/my-finetuned-whisper-model/]
- Demo: [Upcoming]
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
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Training Procedure
Preprocessing [optional]
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Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
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Evaluation
Testing Data, Factors & Metrics
Testing Data
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Factors
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Metrics
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Results
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Summary
Model Examination [optional]
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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
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Compute Infrastructure
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Hardware
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Software
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Citation [optional]
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Sources
1 source
Sources
1 sourceVérifié 25 oct.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactExtraits de sources
2 extraits
Extraits de sources
2 extraits--- library_name: transformers tags: - asr license: mit datasets: - cdli/ugandan_english_nonstandard_speech_v1.0 language: - en metrics: - wer base_model: - openai/whisper-small pipeline_tag: audio-text-to-text --- # 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. - **Developed by:** [Tinyefuza Joe, Maria.J.Nabaccwa, Adam Katongole] - **Model type:** [Audio transcription] - **License:** [MIT] - **Finetuned from model:** [OpenAI whisper-small] ### Model Sources - **Repository:** [https://huggingface.co/jojo007unfi/my-finetuned-whisper-model/] - **Demo:** [Upcoming] ## 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. --> [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 <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [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 <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [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 section is meant to convey both technical and sociotechnical 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 <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and...
Source context: 0 downloads · 0 likes · Pipeline audio-text-to-text · Library transformers · Repo jojo007unfi/my-finetuned-whisper-model
