Instructions to use anderloh/wav2vec2-2ClassEasyValidateMic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anderloh/wav2vec2-2ClassEasyValidateMic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anderloh/wav2vec2-2ClassEasyValidateMic")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anderloh/wav2vec2-2ClassEasyValidateMic") model = AutoModelForAudioClassification.from_pretrained("anderloh/wav2vec2-2ClassEasyValidateMic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 126
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 52149800
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5abfcfa516068613d9011bbab2d229cf8ea76b725a4de0c9287e37a35fb60a25
|
| 3 |
size 52149800
|
runs/Jul13_13-40-34_ml6.hpc.uio.no/events.out.tfevents.1720870882.ml6.hpc.uio.no.3967587.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dac284d5dce9f6a324e0e724c0cc13813c25002294a5c7ff900c4cf09c313bcf
|
| 3 |
+
size 46975
|