Instructions to use slplab/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slplab/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="slplab/results")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("slplab/results") model = AutoModelForAudioClassification.from_pretrained("slplab/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 0
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1262952045
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:521dfb3f62a0880b5f39d93fdc6f1895cf61206b4c25dd95b0711b7c07aca403
|
| 3 |
size 1262952045
|
runs/Aug10_22-47-48_oem-WS-C621E-SAGE-Series/events.out.tfevents.1691675274.oem-WS-C621E-SAGE-Series.4023956.0
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 sha256:8055209bfa1f880712b0de7780c5a2aaa981a247811ce3f601735170d820bb6f
|
| 3 |
+
size 35932
|
runs/Aug11_17-22-06_oem-WS-C621E-SAGE-Series/events.out.tfevents.1691742132.oem-WS-C621E-SAGE-Series.22283.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ab9e7093717470500a4419b6f751c59a4cea4cdaed2c69f7688ae9855e26e83d
|
| 3 |
+
size 11521
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3951
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6d4cdb96939ac8dd08d010a9546e815e3d86ea52ec1919ba9559131392a35f13
|
| 3 |
size 3951
|