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 4
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1262862388
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a70c8e8f0455eb314ebe7d0e0eee14f0d9a63e84672b6489ef5c5ecd3ee2dfc5
|
| 3 |
size 1262862388
|
runs/Apr28_08-02-07_b5746c66e412/events.out.tfevents.1714291328.b5746c66e412.160.1
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 sha256:277724c9383a1019447fb36bf9c6d24b5a1dc5a4424698ef30b510d0319771ba
|
| 3 |
+
size 26173
|