Instructions to use GetmanY1/wav2vec2-large-sami-22k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GetmanY1/wav2vec2-large-sami-22k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GetmanY1/wav2vec2-large-sami-22k")# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("GetmanY1/wav2vec2-large-sami-22k") model = AutoModelForPreTraining.from_pretrained("GetmanY1/wav2vec2-large-sami-22k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "/
|
| 3 |
"activation_dropout": 0.0,
|
| 4 |
"adapter_attn_dim": null,
|
| 5 |
"adapter_kernel_size": 3,
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "/wav2vec2_large_sami_hf",
|
| 3 |
"activation_dropout": 0.0,
|
| 4 |
"adapter_attn_dim": null,
|
| 5 |
"adapter_kernel_size": 3,
|