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 12
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 sha256:9321465870f77a0fbbc9ea4005cb60b74aca2ff45c9d316017a95e23da99d8c5
|
| 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 sha256:4f08099af7e1042e09165713dac540b12400ef6a64dff9557a233638909417f5
|
| 3 |
+
size 53456
|