Instructions to use Yuvarraj/SASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yuvarraj/SASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Yuvarraj/SASR")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Yuvarraj/SASR") model = AutoModelForCTC.from_pretrained("Yuvarraj/SASR") - Notebooks
- Google Colab
- Kaggle
Delete pytorch_model.bin
Browse files- pytorch_model.bin +0 -3
pytorch_model.bin
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:56f3248ca1580ac5c75f8a0c5c5e616d46d62fdc46e7dae73cacf92d5a7b26e9
|
| 3 |
-
size 29980831
|
|
|
|
|
|
|
|
|
|
|
|