Instructions to use monideep2255/batch_size_16_og with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use monideep2255/batch_size_16_og with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="monideep2255/batch_size_16_og")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("monideep2255/batch_size_16_og") model = AutoModelForCTC.from_pretrained("monideep2255/batch_size_16_og") - Notebooks
- Google Colab
- Kaggle
Commit ·
b71bbeb
1
Parent(s): 9678b7d
Training in progress, step 200
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1262084525
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:551cd46ec2fa3073b6b8a24b768c1ee498adf606c6d243aacf9e9df049408b0c
|
| 3 |
size 1262084525
|