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 128
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 sha256:4cc216a7f368ad37f125ad787252fbee4e5518907face701223b7fa78a1907e5
|
| 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 sha256:7f05de8a626d5f55981675f268f0562b4c692e1de342d58c7e44d6a0d9a33087
|
| 3 |
+
size 47621
|