Instructions to use maher13/arabic-iti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maher13/arabic-iti with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="maher13/arabic-iti")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("maher13/arabic-iti") model = AutoModelForCTC.from_pretrained("maher13/arabic-iti") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 6500
Browse files- pytorch_model.bin +1 -1
- training_args.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 1262095857
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:74f663e30f5bc1f159792f290cf271887335f3a91fa55cb74e2f882c8b5bb2c9
|
| 3 |
size 1262095857
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2799
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:782989d8f2eccda50c69c0fa16dcb67c7e7e0dfea68bd8f7f4eb39e21e432e8c
|
| 3 |
size 2799
|