Instructions to use snehatyagi/wav2vec2_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use snehatyagi/wav2vec2_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="snehatyagi/wav2vec2_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("snehatyagi/wav2vec2_test") model = AutoModelForCTC.from_pretrained("snehatyagi/wav2vec2_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
d6faee9
1
Parent(s): b87001e
Training in progress, step 600
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 377668631
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:12770ffac902d9a4d8c9122f9dfea0749e6fe25b1baf574059e37520e36409c5
|
| 3 |
size 377668631
|
runs/Mar29_11-36-25_DESKTOP-C5B0HSF/events.out.tfevents.1648534034.DESKTOP-C5B0HSF.11788.2
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 sha256:732f526ad1747a822991a44e1992137ec34faf3f7327b80e551ecf8094821faf
|
| 3 |
+
size 7833
|