Instructions to use Selma323/first_dys_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Selma323/first_dys_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Selma323/first_dys_model")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Selma323/first_dys_model") model = AutoModelForAudioClassification.from_pretrained("Selma323/first_dys_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 11
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 94766588
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8dfa88572e245140d266a2c6654df95934b5d03827c9e6161a9b73631c7a1002
|
| 3 |
size 94766588
|
runs/Apr28_11-34-42_7ba1c43debe4/events.out.tfevents.1714304083.7ba1c43debe4.38678.0
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 sha256:56c9425f74ab87ef25730371a9a40e16dca9167abbdd56019bead28d7fbc5ef4
|
| 3 |
+
size 39389
|