Instructions to use hsali/wav2vec2_testing2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hsali/wav2vec2_testing2 with Transformers:
# Load model directly from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification processor = AutoProcessor.from_pretrained("hsali/wav2vec2_testing2") model = Wav2Vec2ForSpeechClassification.from_pretrained("hsali/wav2vec2_testing2") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 800
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 377572641
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:281a46ce830fc46f05ce8b3596e0f95b0520df1d7c60ad4c94e746c77e3699b4
|
| 3 |
size 377572641
|