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")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Waynehillsdev/waynehills-STT") model = AutoModelForCTC.from_pretrained("Waynehillsdev/waynehills-STT") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1600
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1265675249
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:af267789ed02285ad22f0c3bed0d10a568cffc0eadffa11b5edeb55fc316bbe0
|
| 3 |
size 1265675249
|
runs/Oct12_13-26-31_35128fd5e801/events.out.tfevents.1665549145.35128fd5e801.34.0
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 sha256:90a3214b7773db1aa7b8e2718de900b08551776536b92b0ec3e29c07b2b7dabc
|
| 3 |
+
size 8173
|