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 ·
8efb571
1
Parent(s): 2fbcc06
Training in progress, step 800
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:e7952669c7959c8cc89e491480d432e21220443c39b7b47f3a65da7213540470
|
| 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:e90ac9f26704e7fd1dcc25f9677ed9f260a3208490db0f8d00c1d5710463badb
|
| 3 |
+
size 8783
|