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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("4tt4/TransMod") model = AutoModelForAudioClassification.from_pretrained("4tt4/TransMod", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
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:aebc41fb5dca253c502f9406b5ed48cd35527a57b1ce5463d546eae04128e7f1
|
| 3 |
size 378305452
|
runs/Apr24_16-25-41_75b54d76d50d/events.out.tfevents.1713975941.75b54d76d50d.2428.2
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 sha256:9fb1b5d78b732642b1c88687e4fa1335988eac93156131fcc4bc0fe9892c72d7
|
| 3 |
+
size 9812
|