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Model: MohamedRashad/Arabic-Whisper-CodeSwitching-Edition Source: Original Platform
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---
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library_name: transformers
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license: gpl-3.0
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datasets:
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- MohamedRashad/arabic-english-code-switching
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language:
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- ar
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- en
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metrics:
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- wer
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pipeline_tag: automatic-speech-recognition
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---
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# 👳 Arabic-Whisper-CodeSwitching-Edition
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This model is a fine-tuned version of [Whisper Large v2 by OpenAI](https://huggingface.co/openai/whisper-large-v2), trained on an [Arabic-English-code-switching](https://huggingface.co/datasets/MohamedRashad/arabic-english-code-switching) dataset.
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## 📝 Model Details
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### Model Description
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The Arabic-Whisper-CodeSwitching-Edition is designed to handle Arabic audio with embedded English words. This model enhances the original Whisper Large v2 by improving its performance on Arabic-English code-switching speech
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- **Developed by:** العبد لله
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- **Model type:** Speech Recognition
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- **Language(s) (NLP):** Arabic, English (in the context of Arabic audio)
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- **License:** GPL-3.0
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository for data collection:** https://github.com/MohamedAliRashad/youtube-audio-collector
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- **Demo:** https://huggingface.co/spaces/MohamedRashad/Arabic-Whisper-CodeSwitching-Edition
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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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The model can be used directly for transcribing Arabic speech that includes English words. It is particularly useful in multilingual environments where code-switching is common.
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### Out-of-Scope Use
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The model may not perform well on monolingual speech in languages other than Arabic or English, or on speech with code-switching in languages other than Arabic and English.
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## 😨 Bias, Risks, and Limitations
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### Recommendations
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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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```python
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from transformers import WhisperForConditionalGeneration, WhisperProcessor
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processor = WhisperProcessor.from_pretrained("MohamedRashad/Arabic-Whisper-CodeSwitching-Edition")
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model = WhisperForConditionalGeneration.from_pretrained("MohamedRashad/Arabic-Whisper-CodeSwitching-Edition")
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# Example usage
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inputs = processor("path_to_audio_file.wav", return_tensors="pt")
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generated_ids = model.generate(inputs["input_features"])
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transcription = processor.batch_decode(generated_ids, skip_special_tokens=True)
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print(transcription)
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```
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## 👨🎓 Citation
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### BibTeX:
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```bibtex
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@misc{rashad2024arabicwhisper,
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title={Arabic-Whisper-CodeSwitching-Edition},
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author={Mohamed Rashad},
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year={2024},
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url={https://huggingface.co/spaces/MohamedRashad/Arabic-Whisper-CodeSwitching-Edition},
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}
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```
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### APA:
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Rashad, M. (2024). Arabic-Whisper-CodeSwitching-Edition. Retrieved from https://huggingface.co/spaces/MohamedRashad/Arabic-Whisper-CodeSwitching-Edition
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||||
63,
|
||||
90,
|
||||
91,
|
||||
92,
|
||||
93,
|
||||
359,
|
||||
503,
|
||||
522,
|
||||
542,
|
||||
873,
|
||||
893,
|
||||
902,
|
||||
918,
|
||||
922,
|
||||
931,
|
||||
1350,
|
||||
1853,
|
||||
1982,
|
||||
2460,
|
||||
2627,
|
||||
3246,
|
||||
3253,
|
||||
3268,
|
||||
3536,
|
||||
3846,
|
||||
3961,
|
||||
4183,
|
||||
4667,
|
||||
6585,
|
||||
6647,
|
||||
7273,
|
||||
9061,
|
||||
9383,
|
||||
10428,
|
||||
10929,
|
||||
11938,
|
||||
12033,
|
||||
12331,
|
||||
12562,
|
||||
13793,
|
||||
14157,
|
||||
14635,
|
||||
15265,
|
||||
15618,
|
||||
16553,
|
||||
16604,
|
||||
18362,
|
||||
18956,
|
||||
20075,
|
||||
21675,
|
||||
22520,
|
||||
26130,
|
||||
26161,
|
||||
26435,
|
||||
28279,
|
||||
29464,
|
||||
31650,
|
||||
32302,
|
||||
32470,
|
||||
36865,
|
||||
42863,
|
||||
47425,
|
||||
49870,
|
||||
50254,
|
||||
50258,
|
||||
50358,
|
||||
50359,
|
||||
50360,
|
||||
50361,
|
||||
50362
|
||||
],
|
||||
"task": "transcribe",
|
||||
"task_to_id": {
|
||||
"transcribe": 50359,
|
||||
"translate": 50358
|
||||
},
|
||||
"transformers_version": "4.42.3"
|
||||
}
|
||||
50001
merges.txt
Normal file
50001
merges.txt
Normal file
File diff suppressed because it is too large
Load Diff
3
model.safetensors
Normal file
3
model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:7065698f9d9f4fe25d20fcadad37b0c121c8cca4b0f6fa02e7b308b22d269249
|
||||
size 3086761032
|
||||
1742
normalizer.json
Normal file
1742
normalizer.json
Normal file
File diff suppressed because it is too large
Load Diff
14
preprocessor_config.json
Normal file
14
preprocessor_config.json
Normal file
@@ -0,0 +1,14 @@
|
||||
{
|
||||
"chunk_length": 30,
|
||||
"feature_extractor_type": "WhisperFeatureExtractor",
|
||||
"feature_size": 80,
|
||||
"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
|
||||
}
|
||||
139
special_tokens_map.json
Normal file
139
special_tokens_map.json
Normal file
@@ -0,0 +1,139 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|endoftext|>",
|
||||
"<|startoftranscript|>",
|
||||
"<|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|>",
|
||||
"<|translate|>",
|
||||
"<|transcribe|>",
|
||||
"<|startoflm|>",
|
||||
"<|startofprev|>",
|
||||
"<|nocaptions|>",
|
||||
"<|notimestamps|>"
|
||||
],
|
||||
"bos_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
12989
tokenizer_config.json
Normal file
12989
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
50260
vocab.json
Normal file
50260
vocab.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user