Instructions to use Waynehillsdev/Waynehills-STT-doogie-server with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Waynehillsdev/Waynehills-STT-doogie-server with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Waynehillsdev/Waynehills-STT-doogie-server")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Waynehillsdev/Waynehills-STT-doogie-server") model = AutoModelForCTC.from_pretrained("Waynehillsdev/Waynehills-STT-doogie-server", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5700
Browse files
runs/Jan03_09-54-15_1eba5f1014fe/events.out.tfevents.1641221693.1eba5f1014fe.798115.2
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:03af2d2d50f6877ca6d97234b4afb461bafae3b4e521108d2e250b7fc320ad74
|
| 3 |
+
size 31280
|