Instructions to use maher13/English_ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maher13/English_ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="maher13/English_ASR")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("maher13/English_ASR") model = AutoModelForCTC.from_pretrained("maher13/English_ASR") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 377670039
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:331a74cbe6cededccf1ee4ae112604d4d037ccbbebffbc85a83d6d74286f9773
|
| 3 |
size 377670039
|
runs/Dec28_14-17-57_1a4cfcf7ac7c/events.out.tfevents.1640701264.1a4cfcf7ac7c.35.0
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:a417ed226aa95786a04fdf54bbfa540846e5cc457b5d005ce7f88ae86e243b12
|
| 3 |
+
size 7270
|