Instructions to use akera/w2vbert-ctc-salt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akera/w2vbert-ctc-salt with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("akera/w2vbert-ctc-salt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 9000
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 2324313256
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cc3aedd884af4269ac3a4edac6b03f3ffe84f0c3e2112574eaf2d160e797b1ce
|
| 3 |
size 2324313256
|