Automatic Speech Recognition
Transformers
PyTorch
whisper
audio
speech
wav2vec2
Eval Results (legacy)
Instructions to use devasheeshG/whisper_medium_fp16_transformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devasheeshG/whisper_medium_fp16_transformers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="devasheeshG/whisper_medium_fp16_transformers")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("devasheeshG/whisper_medium_fp16_transformers") model = AutoModelForSpeechSeq2Seq.from_pretrained("devasheeshG/whisper_medium_fp16_transformers", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
bb45b74
1
Parent(s): 4dcd187
Update README.md
Browse files
README.md
CHANGED
|
@@ -131,7 +131,7 @@ language:
|
|
| 131 |
| Collab (Tesla T4) | 2.8 | 2.2 | 2,560 | 320 |
|
| 132 |
| Collab (CPU) | 35 | - | - | - |
|
| 133 |
|
| 134 |
-
|
| 135 |
- CPU -> torch.float16 not supported on CPU (AMD Ryzen 5 3600 or Collab GPU)
|
| 136 |
- Punchuation: True
|
| 137 |
|
|
|
|
| 131 |
| Collab (Tesla T4) | 2.8 | 2.2 | 2,560 | 320 |
|
| 132 |
| Collab (CPU) | 35 | - | - | - |
|
| 133 |
|
| 134 |
+
- **TensorCores are efficient in mixed-precision calculations**
|
| 135 |
- CPU -> torch.float16 not supported on CPU (AMD Ryzen 5 3600 or Collab GPU)
|
| 136 |
- Punchuation: True
|
| 137 |
|