Instructions to use BOENE/distilhubert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BOENE/distilhubert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="BOENE/distilhubert")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("BOENE/distilhubert") model = AutoModelForAudioClassification.from_pretrained("BOENE/distilhubert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 94766588
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:23ad01070b8c762feac78dea60183c40c2b240dbdfc81417bcf0ede922b3b556
|
| 3 |
size 94766588
|
runs/Dec01_12-07-29_06f0aca246a2/events.out.tfevents.1701432519.06f0aca246a2.280.0
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 sha256:96c648c2340ea038d3eb6345cd81860e66d03812feaeae410860fee93da60a0e
|
| 3 |
+
size 7015
|