Instructions to use dispatchAI/Whisper-Small-ASR-mobile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dispatchAI/Whisper-Small-ASR-mobile with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dispatchAI/Whisper-Small-ASR-mobile", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Dispatch AI: Whisper-Small-ASR-mobile — Speech Recognition — On-device transcription
Browse files- .gitattributes +1 -0
- model.gguf +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
model.gguf filter=lfs diff=lfs merge=lfs -text
|
model.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:26d317490c2eb1b06ab36c28a13a0cf6fedb04e019d43fbe80bdec37b71cebf4
|
| 3 |
+
size 258781600
|