Instructions to use hsali/m_seq_data_type with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hsali/m_seq_data_type with Transformers:
# Load model directly from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification processor = AutoProcessor.from_pretrained("hsali/m_seq_data_type") model = Wav2Vec2ForSpeechClassification.from_pretrained("hsali/m_seq_data_type") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3000
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 377566497
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:251175ecdd428665c77211a140e5c9c3d02ae18e3e2d47afb289a8337a46923b
|
| 3 |
size 377566497
|