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language: |
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- si |
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# Model Card for tiny-wav2vec2-no-tokenizer |
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# Model Details |
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## Model Description |
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- **Developed by:** Ransaka Ravihara |
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- **Shared by [Optional]:** Ransaka Ravihara |
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- **Model type:** Automatic Speech Recognition |
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- **Language(s) (NLP):** si |
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- **License:** More information needed |
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- **Related Models:** |
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- **Parent Model:** GPT-2 |
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# Uses |
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## Direct Use |
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This model can be used for the task of Text2Text generation |
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## Downstream Use [Optional] |
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More information needed |
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## Out-of-Scope Use |
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More information needed |
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# Bias, Risks, and Limitations |
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More information needed |
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## Recommendations |
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More information needed |
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# Training Details |
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More information needed |
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## Training Data |
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More information needed |
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## Training Procedure |
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More information needed |
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### Preprocessing |
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More information needed |
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### Speeds, Sizes, Times |
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More information needed |
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# Evaluation |
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## Testing Data, Factors & Metrics |
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### Testing Data |
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More information needed |
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### Factors |
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### Metrics |
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More information needed |
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## Results |
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More information needed |
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# Model Examination |
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More information needed |
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# Environmental Impact |
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- **Hardware Type:** More information needed |
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- **Hours used:** More information needed |
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- **Cloud Provider:** More information needed |
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- **Compute Region:** More information needed |
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- **Carbon Emitted:** More information needed |
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# Technical Specifications [optional] |
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## Model Architecture and Objective |
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More information needed |
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## Compute Infrastructure |
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More information needed |
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### Hardware |
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More information needed |
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### Software |
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More information needed |
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# Glossary [optional] |
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More information needed |
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# More Information [optional] |
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More information needed |
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# Model Card Authors [optional] |
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Patrick von Platen in collaboration with the Hugging Face team |
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# Model Card Contact |
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More information needed |
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# How to Get Started with the Model |
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Use the code below to get started with the model. |
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```python |
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from transformers import GPT2TokenizerFast |
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GPT2TokenizerFast.from_pretrained("Ransaka/gpt2-tokenizer-fast") |
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``` |