Commit
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803f441
1
Parent(s):
967796b
added model card
Browse files- .gitattributes +1 -0
- README.md +58 -0
- requirements.txt +5 -0
- test.wav +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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test.wav filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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---
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## Versions:
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- CUDA: 12.1
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- cuDNN Version: 8.9.2.26_1.0-1_amd64
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* tensorflow Version: 2.12.0
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* torch Version: 2.1.0.dev20230606+cu121
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* transformers Version: 4.30.2
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* accelerate Version: 0.20.3
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## BENCHMARK:
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- RAM: 2.8 GB (Original_Model: 5.5GB)
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- VRAM: 1812 MB (Original_Model: 6GB)
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- test.wav: 23 s (Multilingual Speech i.e. English+Hindi)
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| Device Name | float32 (Original) | float16 | CudaCores | TensorCores |
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| ----------------- | -------------------- | ------- | --------- | ----------- |
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| 3060 | 1.7 | 1.1 | 3,584 | 112 |
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| 1660 Super | can't use this model | 3.3 | 1,408 | - |
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| Collab (Tesla T4) | 2.8 | 2.2 | 2,560 | 320 |
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| CPU | - | - | - | - |
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- CPU -> torch.float16 not supported on CPU (AMD Ryzen 5 3600 or Collab GPU)
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- Punchuation: True
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## Usage
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A file ``__init__.py`` is contained inside this repo which contains all the code to use this model.
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Firstly, clone this repo and place all the files inside a folder.
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**Please try in jupyter notebook**
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```python
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# Import the Model
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from whisper_medium_fp16_transformers import Model
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```
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```python
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# Initilise the model
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model = Model(
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model_name_or_path='whisper_medium_fp16_transformers',
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cuda_visible_device="0",
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device='cuda',
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)
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```
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```python
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# Load Audio
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audio = model.load_audio('test.wav')
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```
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```python
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# Transcribe (First transcription takes time.)
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model.transcribe(audio)
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```
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requirements.txt
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ffmpeg_python==0.2.0
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numpy==1.23.5
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torch==2.1.0.dev20230606+cu121
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transformers==4.30.2
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accelerate==0.20.3
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test.wav
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version https://git-lfs.github.com/spec/v1
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oid sha256:1483a4b2c200e9c0fd9c3006158665740f739c81c20da572afbbf33e3a5a3fd6
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size 4452466
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