Instructions to use MBMMurad/wav2vec2_spec_aug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MBMMurad/wav2vec2_spec_aug with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MBMMurad/wav2vec2_spec_aug")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("MBMMurad/wav2vec2_spec_aug") model = AutoModelForCTC.from_pretrained("MBMMurad/wav2vec2_spec_aug") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4800
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1262255409
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:412c1f11f07230af145bcd5cd17376cab82e12c19b46923fae7a76798f6f15a2
|
| 3 |
size 1262255409
|
runs/Aug22_02-54-40_0c9dbeff297a/events.out.tfevents.1661138124.0c9dbeff297a.23.0
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:d45e33b0d8c4b11f7eb52ae71a79eeac14385ad5849a87a737b11d338305d936
|
| 3 |
+
size 10756
|