Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Arabic
wav2vec2
Generated from Trainer
Instructions to use Foxasdf/ArabicSpeechToText with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Foxasdf/ArabicSpeechToText with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Foxasdf/ArabicSpeechToText")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Foxasdf/ArabicSpeechToText") model = AutoModelForCTC.from_pretrained("Foxasdf/ArabicSpeechToText", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1400
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1262087665
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a781cb0a31a17f72fbf771834114ca7e07fbb4b2d709ed144b933828e57e19ef
|
| 3 |
size 1262087665
|
runs/Feb14_18-02-00_99fd5f78ac4c/events.out.tfevents.1676398689.99fd5f78ac4c.1126.0
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 sha256:0806a3527551f0b6992ef480925945123cfea50117d0a6662b10a46b565a00c1
|
| 3 |
+
size 5302
|