Instructions to use 4tt4/TransMod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 4tt4/TransMod with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="4tt4/TransMod")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("4tt4/TransMod") model = AutoModelForAudioClassification.from_pretrained("4tt4/TransMod") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 14
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 378305452
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f4e82e24189aca4e3e706facb331466ad79f05088e2d4359f79ec73f02e94497
|
| 3 |
size 378305452
|
runs/Apr27_12-09-04_b767de653dff/events.out.tfevents.1714219745.b767de653dff.2253.0
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:f9c25afc4ad1767bfe6eeea8f0af46397101a564c39efcac1f182309b6b4315d
|
| 3 |
+
size 65186
|