Instructions to use Respeecher/ukrainian-data2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Respeecher/ukrainian-data2vec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Respeecher/ukrainian-data2vec")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Respeecher/ukrainian-data2vec") model = AutoModel.from_pretrained("Respeecher/ukrainian-data2vec") - Notebooks
- Google Colab
- Kaggle
Commit ·
6ce4e94
1
Parent(s): bcc1b9a
Update config.json
Browse files- config.json +0 -1
config.json
CHANGED
|
@@ -1,5 +1,4 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "/home/vova/src/simplecatalystflow_accent_vc_v2/feature_models/data2vec-audio-large-ukrainian/",
|
| 3 |
"activation_dropout": 0.1,
|
| 4 |
"adapter_kernel_size": 3,
|
| 5 |
"adapter_stride": 2,
|
|
|
|
| 1 |
{
|
|
|
|
| 2 |
"activation_dropout": 0.1,
|
| 3 |
"adapter_kernel_size": 3,
|
| 4 |
"adapter_stride": 2,
|