Instructions to use ducha07/wav2vec2-ASR3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ducha07/wav2vec2-ASR3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ducha07/wav2vec2-ASR3")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ducha07/wav2vec2-ASR3") model = AutoModelForCTC.from_pretrained("ducha07/wav2vec2-ASR3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 400
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 3859295720
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d0caebc1ea36fd8a6d1d947fb4c104d92b3235738d76a9bc1c7c912c9f1de883
|
| 3 |
size 3859295720
|