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+ ---
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+ language:
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+ - si
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+ pipeline_tag: text2text-generation
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+ ---
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+ # Model Card for tiny-wav2vec2-no-tokenizer
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+
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+
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+ # Model Details
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+
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+ ## Model Description
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+
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+ - **Developed by:** Ransaka Ravihara
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+ - **Shared by [Optional]:** Ransaka Ravihara
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+ - **Model type:** More information needed
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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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+
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+ # Uses
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+
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+
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+ ## Direct Use
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+
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+ This model can be used for the task of Text2Text generation
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+
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+ ## Downstream Use [Optional]
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+ More information needed
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+
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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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+
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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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+ More information needed
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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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+ ```