Instructions to use PrajwalS/wav2vec2_train_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrajwalS/wav2vec2_train_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="PrajwalS/wav2vec2_train_large")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("PrajwalS/wav2vec2_train_large") model = AutoModelForCTC.from_pretrained("PrajwalS/wav2vec2_train_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 32000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1262054897
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0ada667f8eb1f4ff4b650f4a174ea7ccc1953218fdb121bc0f126e6c532a1905
|
| 3 |
size 1262054897
|
runs/May14_22-17-45_hydcorp-esxi09/events.out.tfevents.1652547188.hydcorp-esxi09.3302818.0
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 sha256:321ec9eefbe917b3984abc2615fdd882c051080735b40b86119526e1f4de27ff
|
| 3 |
+
size 34937
|