Instructions to use anderloh/TestV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anderloh/TestV2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anderloh/TestV2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anderloh/TestV2") model = AutoModelForAudioClassification.from_pretrained("anderloh/TestV2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 28
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 52182770
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2547d77ac50284d00b4fb98e2571957e2075564eaea06e787913881d8fc471ca
|
| 3 |
size 52182770
|
runs/Jun19_21-46-15_ml6.hpc.uio.no/events.out.tfevents.1718826395.ml6.hpc.uio.no.3855193.0
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 sha256:1e78a3ecc97d50c61efef4a471f6eb518cb37fb88f4157707b1899814dccfc07
|
| 3 |
+
size 15809
|