Instructions to use vrclc/transliteration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use vrclc/transliteration with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("vrclc/transliteration") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -16,7 +16,7 @@ model-index:
|
|
| 16 |
results:
|
| 17 |
- task:
|
| 18 |
type: automatic-speech-recognition
|
| 19 |
-
name:
|
| 20 |
dataset:
|
| 21 |
name: IndoNLP Test -1
|
| 22 |
type: vrclc/IndoNLP-1
|
|
|
|
| 16 |
results:
|
| 17 |
- task:
|
| 18 |
type: automatic-speech-recognition
|
| 19 |
+
name: ASR
|
| 20 |
dataset:
|
| 21 |
name: IndoNLP Test -1
|
| 22 |
type: vrclc/IndoNLP-1
|