Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Kabyle
Standard Moroccan Tamazight
wav2vec2
Generated from Trainer
Instructions to use TutlaytAI/wav2vec2-berber with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TutlaytAI/wav2vec2-berber with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TutlaytAI/wav2vec2-berber")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("TutlaytAI/wav2vec2-berber") model = AutoModelForCTC.from_pretrained("TutlaytAI/wav2vec2-berber", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -8,6 +8,8 @@ model-index:
|
|
| 8 |
results: []
|
| 9 |
language:
|
| 10 |
- kab
|
|
|
|
|
|
|
| 11 |
---
|
| 12 |
|
| 13 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 8 |
results: []
|
| 9 |
language:
|
| 10 |
- kab
|
| 11 |
+
- zgh
|
| 12 |
+
- ber
|
| 13 |
---
|
| 14 |
|
| 15 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|