| | --- |
| | language: |
| | - en |
| | - zh |
| | - de |
| | - es |
| | - ru |
| | - ko |
| | - fr |
| | - ja |
| | - pt |
| | - tr |
| | - pl |
| | - ca |
| | - nl |
| | - ar |
| | - sv |
| | - it |
| | - id |
| | - hi |
| | - fi |
| | - vi |
| | - he |
| | - uk |
| | - el |
| | - ms |
| | - cs |
| | - ro |
| | - da |
| | - hu |
| | - ta |
| | - 'no' |
| | - th |
| | - ur |
| | - hr |
| | - bg |
| | - lt |
| | - la |
| | - mi |
| | - ml |
| | - cy |
| | - sk |
| | - te |
| | - fa |
| | - lv |
| | - bn |
| | - sr |
| | - az |
| | - sl |
| | - kn |
| | - et |
| | - mk |
| | - br |
| | - eu |
| | - is |
| | - hy |
| | - ne |
| | - mn |
| | - bs |
| | - kk |
| | - sq |
| | - sw |
| | - gl |
| | - mr |
| | - pa |
| | - si |
| | - km |
| | - sn |
| | - yo |
| | - so |
| | - af |
| | - oc |
| | - ka |
| | - be |
| | - tg |
| | - sd |
| | - gu |
| | - am |
| | - yi |
| | - lo |
| | - uz |
| | - fo |
| | - ht |
| | - ps |
| | - tk |
| | - nn |
| | - mt |
| | - sa |
| | - lb |
| | - my |
| | - bo |
| | - tl |
| | - mg |
| | - as |
| | - tt |
| | - haw |
| | - ln |
| | - ha |
| | - ba |
| | - jw |
| | - su |
| | - yue |
| | tags: |
| | - audio |
| | - automatic-speech-recognition |
| | - int8 |
| | - quanto |
| | - faster-whisper |
| | license: apache-2.0 |
| | library_name: ctranslate2 |
| | --- |
| | |
| | # Model Card for Model ID |
| |
|
| | This model is quantized using the [Quanto Python Package](https://github.com/huggingface/quanto) and the [CTranslate2 Python Package](https://github.com/OpenNMT/CTranslate2). |
| | From my early tests: |
| | - Much less GPU memory required |
| | - It seems that performance is on par with the original |
| | - It seems that this combination is faster than just using the CTranslate2 int8 quantization. |
| |
|
| | Quantization method TBA. |
| | To use this model use the faster_whisper module as stated in [the original faster-whisper model](https://huggingface.co/Systran/faster-whisper-large-v3) |
| | Or use [WhisperX](https://github.com/m-bain/whisperX), this is what I used for my small tests (do not forget to set dtype to int8). |
| | |
| | Any benchmark results are appreciated. I probably do not have time to do it myself. |
| | ## Model Details |
| | |
| | ### Model Description |
| | |
| | <!-- Provide a longer summary of what this model is. --> |
| | |
| | |
| | |
| | - **Developed by:** [More Information Needed] |
| | - **Funded by [optional]:** [More Information Needed] |
| | - **Shared by [optional]:** [More Information Needed] |
| | - **Model type:** [More Information Needed] |
| | - **Language(s) (NLP):** [More Information Needed] |
| | - **License:** [More Information Needed] |
| | - **Finetuned from model [optional]:** [More Information Needed] |
| | |
| | ### Model Sources [optional] |
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| | <!-- Provide the basic links for the model. --> |
| | |
| | - **Repository:** [More Information Needed] |
| | - **Paper [optional]:** [More Information Needed] |
| | - **Demo [optional]:** [More Information Needed] |
| | |
| | ## 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. --> |
| | |
| | [More Information Needed] |
| | |
| | ### Downstream Use [optional] |
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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 --> |
| | |
| | [More Information Needed] |
| | |
| | ### Out-of-Scope Use |
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| | <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> |
| | |
| | [More Information Needed] |
| | |
| | ## Bias, Risks, and Limitations |
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| | <!-- This section is meant to convey both technical and sociotechnical limitations. --> |
| | |
| | [More Information Needed] |
| | |
| | ### Recommendations |
| | |
| | <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
| | |
| | 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 get started with the model. |
| | |
| | [More Information Needed] |
| | |
| | ## Training Details |
| | |
| | ### Training Data |
| | |
| | <!-- 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. --> |
| | |
| | [More Information Needed] |
| | |
| | ### 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. --> |
| | |
| | #### Preprocessing [optional] |
| | |
| | [More Information Needed] |
| | |
| | |
| | #### Training Hyperparameters |
| | |
| | - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
| | |
| | #### Speeds, Sizes, Times [optional] |
| | |
| | <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> |
| | |
| | [More Information Needed] |
| | |
| | ## Evaluation |
| | |
| | <!-- This section describes the evaluation protocols and provides the results. --> |
| | |
| | ### Testing Data, Factors & Metrics |
| | |
| | #### Testing Data |
| | |
| | <!-- This should link to a Dataset Card if possible. --> |
| | |
| | [More Information Needed] |
| | |
| | #### Factors |
| | |
| | <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
| | |
| | [More Information Needed] |
| | |
| | #### Metrics |
| | |
| | <!-- These are the evaluation metrics being used, ideally with a description of why. --> |
| | |
| | [More Information Needed] |
| | |
| | ### Results |
| | |
| | [More Information Needed] |
| | |
| | #### Summary |
| | |
| | |
| | |
| | ## Model Examination [optional] |
| | |
| | <!-- Relevant interpretability work for the model goes here --> |
| | |
| | [More Information Needed] |
| | |
| | ## Environmental Impact |
| | |
| | <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
| | |
| | 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). |
| | |
| | - **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] |
| | |
| | <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
| | |
| | **BibTeX:** |
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| | [More Information Needed] |
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| | **APA:** |
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| | [More Information Needed] |
| | |
| | ## Glossary [optional] |
| | |
| | <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
| | |
| | [More Information Needed] |
| | |
| | ## More Information [optional] |
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| | [More Information Needed] |
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| | ## Model Card Authors [optional] |
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| | ## Model Card Contact |
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