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")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("BOENE/distilhubert") model = AutoModelForAudioClassification.from_pretrained("BOENE/distilhubert") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 6
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 sha256:15107391ffb83e6292195504a0db58e06e32fe3070de701bf179b9a60d613bfa
|
| 3 |
size 94766588
|
runs/Dec04_12-50-37_f0267cf33486/events.out.tfevents.1701694285.f0267cf33486.4194.0
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:ea4b4f9c361ae0dc756a1647ecadcca152c3b951b3f901d1786eed9daa297f2f
|
| 3 |
+
size 7332
|