Instructions to use xTorch8/mms-id-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xTorch8/mms-id-asr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="xTorch8/mms-id-asr")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("xTorch8/mms-id-asr") model = AutoModelForCTC.from_pretrained("xTorch8/mms-id-asr") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -8,7 +8,7 @@ base_model:
|
|
| 8 |
pipeline_tag: automatic-speech-recognition
|
| 9 |
library_name: transformers
|
| 10 |
---
|
| 11 |
-
# [xTorch8/
|
| 12 |
|
| 13 |
## Model Details
|
| 14 |
|
|
|
|
| 8 |
pipeline_tag: automatic-speech-recognition
|
| 9 |
library_name: transformers
|
| 10 |
---
|
| 11 |
+
# [xTorch8/mms-id-asr](https://huggingface.co/xTorch8/fine-tuned-mms)
|
| 12 |
|
| 13 |
## Model Details
|
| 14 |
|