Duplicate from Zoont/faster-whisper-large-v3-turbo-int8-ct2

Co-authored-by: Zoont <Zoont@users.noreply.huggingface.co>

.gitattributes

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README.md

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+---
+license: mit
+language:
+- en
+- zh
+- de
+- es
+- ru
+- ko
+- fr
+- ja
+- pt
+- tr
+- pl
+- ca
+- nl
+- ar
+- sv
+- it
+- id
+- hi
+- fi
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+- uk
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+tags:
+- audio
+- automatic-speech-recognition
+- faster-whisper
+- 8-bit
+pipeline_tag: automatic-speech-recognition
+base_model:
+- openai/whisper-large-v3-turbo
+library_name: ctranslate2
+---
+
+# CTranslate2 Conversion of whisper-large-v3-turbo (INT8 Quantization)
+
+This model is converted from [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) to the CTranslate2 format using INT8 quantization, primarily for use with [faster-whisper](https://github.com/SYSTRAN/faster-whisper.git)
+
+## Model Details
+
+For more details about the model, see its original [model card](https://huggingface.co/openai/whisper-large-v3-turbo)
+
+## Conversion Details
+
+The original model was converted using the following command:  
+```
+ct2-transformers-converter --model whisper-large-v3-turbo --copy_files tokenizer.json preprocessor_config.json --output_dir faster-whisper-large-v3-turbo-int8-ct2 --quantization int8
+```

config.json

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model.bin

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preprocessor_config.json

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+{
+  "chunk_length": 30,
+  "feature_extractor_type": "WhisperFeatureExtractor",
+  "feature_size": 128,
+  "hop_length": 160,
+  "n_fft": 400,
+  "n_samples": 480000,
+  "nb_max_frames": 3000,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "processor_class": "WhisperProcessor",
+  "return_attention_mask": false,
+  "sampling_rate": 16000
+}