Instructions to use Waynehillsdev/waynehills-STT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Waynehillsdev/waynehills-STT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Waynehillsdev/waynehills-STT")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Waynehillsdev/waynehills-STT") model = AutoModelForCTC.from_pretrained("Waynehillsdev/waynehills-STT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 400
Browse files
runs/Sep13_13-05-59_35128fd5e801/1663103499.5464668/events.out.tfevents.1663103499.35128fd5e801.52962.3
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:694cfe1410b4b3c39c37d05375c7dfdb0640b11cfd4e997df8f1f7170b83809f
|
| 3 |
+
size 4507
|
runs/Sep13_13-05-59_35128fd5e801/events.out.tfevents.1663103499.35128fd5e801.52962.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:937f1bf41abf885242e42535e067ba718cb0c72e4401c8f611cd5f8d9d6696b1
|
| 3 |
+
size 5355
|