Instructions to use HashNuke/whisper-tiny-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use HashNuke/whisper-tiny-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir whisper-tiny-mlx HashNuke/whisper-tiny-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,5 +1,8 @@
|
|
| 1 |
---
|
| 2 |
library_name: mlx
|
|
|
|
|
|
|
|
|
|
| 3 |
---
|
| 4 |
|
| 5 |
# whisper-tiny-mlx
|
|
@@ -13,4 +16,4 @@ pip install -r requirements.txt
|
|
| 13 |
|
| 14 |
>> import whisper
|
| 15 |
>> whisper.transcribe("FILE_NAME")
|
| 16 |
-
```
|
|
|
|
| 1 |
---
|
| 2 |
library_name: mlx
|
| 3 |
+
license: mit
|
| 4 |
+
base_model:
|
| 5 |
+
- openai/whisper-tiny
|
| 6 |
---
|
| 7 |
|
| 8 |
# whisper-tiny-mlx
|
|
|
|
| 16 |
|
| 17 |
>> import whisper
|
| 18 |
>> whisper.transcribe("FILE_NAME")
|
| 19 |
+
```
|