Instructions to use 202015004/Spoof_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 202015004/Spoof_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="202015004/Spoof_detection")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("202015004/Spoof_detection") model = AutoModelForCTC.from_pretrained("202015004/Spoof_detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 21000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 377671575
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9aa9abe79ed0aa2a2d69972035d77ae356c8595ccc7d8ebebac8d3c00a759b29
|
| 3 |
size 377671575
|
runs/Aug08_05-44-34_asr-dev-server/events.out.tfevents.1659937493.asr-dev-server.2726693.0
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 sha256:2998dd2ccb0727fc85ea8579471bb4edceb2cacbe8d366c724552b477b49a3d6
|
| 3 |
+
size 25022
|