Instructions to use cxlrd/revix-classifier_3.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cxlrd/revix-classifier_3.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="cxlrd/revix-classifier_3.0")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("cxlrd/revix-classifier_3.0") model = AutoModelForAudioClassification.from_pretrained("cxlrd/revix-classifier_3.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 344790040
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9a58d1857cd3bc72bca22ea9899e560b284978100971f2a07e3ba8f0536697d1
|
| 3 |
size 344790040
|