Instructions to use PrajwalS/wav2vec2_train_large_on_untrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrajwalS/wav2vec2_train_large_on_untrained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="PrajwalS/wav2vec2_train_large_on_untrained")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("PrajwalS/wav2vec2_train_large_on_untrained") model = AutoModelForCTC.from_pretrained("PrajwalS/wav2vec2_train_large_on_untrained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 31500
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 sha256:05b9fb132bcfe3c2d379e05cf6ec3a559c5190c990d5812d0dc59e8dcd071826
|
| 3 |
size 1262054897
|
runs/May16_00-16-03_hydcorp-esxi09/events.out.tfevents.1652640683.hydcorp-esxi09.3332957.0
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 sha256:717978e2e1518e399f938735890f46ba0f29e38785c08c3a249a4082f4d9b2df
|
| 3 |
+
size 34432
|