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 100
Browse files- pytorch_model.bin +1 -1
- training_args.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:bc112aa7335f45b208689f8ace91284723e43def1664019f0c5ad8eabf8c8161
|
| 3 |
size 377566497
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3515
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7df39633fb4d05b385abb019c123fa5175a296b84d49d943b844cae18c00014e
|
| 3 |
size 3515
|