Instructions to use mlx-community/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlx-community/whisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mlx-community/whisper-tiny")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mlx-community/whisper-tiny", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add model weights in safetensors format
#2
by depasquale - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:313898fa77e2ccf142c212220cf9246d1bd0a38054fa3d8cd70c87676a19f9c6
|
| 3 |
+
size 74385944
|