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 ·
fc3e5ec
1
Parent(s): 5edf16c
Training in progress, step 450
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 sha256:4c2d9a91284b176edb569f8e9eef52a4865f2fed64f4213e900386a436cb49e3
|
| 3 |
size 377668631
|
runs/Mar28_20-59-36_DESKTOP-C5B0HSF/events.out.tfevents.1648481391.DESKTOP-C5B0HSF.11788.0
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:cbc1f99e8445cc4e83d5f215623973d202ec8c1e65348371e014d455af06ae1f
|
| 3 |
+
size 9223
|