Instructions to use MathRaaj/wav2vec-bert-ser-standard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MathRaaj/wav2vec-bert-ser-standard with Transformers:
# Load model directly from transformers import W2VBertSER model = W2VBertSER.from_pretrained("MathRaaj/wav2vec-bert-ser-standard", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2323135412
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eb9c84fd1e269c6b2d6129bcfd7af163c4669eafc5eda928993f26c7941a1c67
|
| 3 |
size 2323135412
|