Instructions to use salixc/dielect_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use salixc/dielect_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="salixc/dielect_classification_model")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("salixc/dielect_classification_model") model = AutoModelForAudioClassification.from_pretrained("salixc/dielect_classification_model") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 378304424
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c48512b3f46bfd51d4bbfa2b371280ec121cbf5d66ed1cb8491b37c533e05495
|
| 3 |
size 378304424
|
runs/Jul26_02-19-05_c143efb7e118/events.out.tfevents.1721960347.c143efb7e118.7405.0
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 sha256:0dacdec13726de9c9c34040d1798b47f949b78ba668071b11e89f36eb1c5709a
|
| 3 |
+
size 24402
|