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@@ -33,190 +33,6 @@ pipe = pipeline(
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  return_timestamps=True,
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  torch_dtype=torch_dtype,
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  )
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- ```
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- <!-- ### Model Description -->
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- <!-- Provide a longer summary of what this model is. -->
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- <!-- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. -->
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- <!-- - **Developed by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Model type:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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- - **License:** [More Information Needed]
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- - **Finetuned from model [optional]:** [More Information Needed] -->
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- <!-- ### Model Sources [optional] -->
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- <!-- Provide the basic links for the model. -->
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- <!--
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed] -->
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- <!-- ## Uses -->
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- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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- <!-- ### Direct Use -->
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- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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- <!-- [More Information Needed]
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- ### Downstream Use [optional]
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- -->
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- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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- <!-- [More Information Needed]
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- ### Out-of-Scope Use -->
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- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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- <!--
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- ## Bias, Risks, and Limitations -->
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- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- ### Recommendations -->
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- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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- <!-- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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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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- ## Training Details
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- ### Training Data -->
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- <!-- 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. -->
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- ### Training Procedure -->
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- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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- <!-- #### Preprocessing [optional]
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- #### Training Hyperparameters
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- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> -->
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- <!-- #### Speeds, Sizes, Times [optional] -->
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- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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- ## Evaluation
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- <!-- This section describes the evaluation protocols and provides the results. -->
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- #### Testing Data -->
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- <!-- This should link to a Dataset Card if possible. -->
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- #### Factors
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- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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- #### Metrics -->
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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- ### Results
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- #### Summary
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- ## Model Examination [optional]
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- <!-- Relevant interpretability work for the model goes here -->
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- ## Environmental Impact -->
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- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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- <!-- Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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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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- ### Compute Infrastructure
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- #### Hardware
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- #### Software
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- ## Citation [optional] -->
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- ## Glossary [optional]
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- ## More Information [optional]
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  return_timestamps=True,
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  torch_dtype=torch_dtype,
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  )
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+ result = pipe(audio_path, generate_kwargs={"language": "vietnamese"})
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+ print(result["text"])
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+ ```