Instructions to use Mustafaa4a/ASR-Somali with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mustafaa4a/ASR-Somali with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mustafaa4a/ASR-Somali")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Mustafaa4a/ASR-Somali") model = AutoModelForCTC.from_pretrained("Mustafaa4a/ASR-Somali") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#2
by librarian-bot - opened
README.md
CHANGED
|
@@ -4,6 +4,7 @@ tags:
|
|
| 4 |
- generated_from_trainer
|
| 5 |
metrics:
|
| 6 |
- wer
|
|
|
|
| 7 |
model-index:
|
| 8 |
- name: ASR-Somali
|
| 9 |
results: []
|
|
|
|
| 4 |
- generated_from_trainer
|
| 5 |
metrics:
|
| 6 |
- wer
|
| 7 |
+
base_model: facebook/wav2vec2-large-xlsr-53
|
| 8 |
model-index:
|
| 9 |
- name: ASR-Somali
|
| 10 |
results: []
|