Instructions to use Scicom-intl/xcodec2-25TPS-24k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Scicom-intl/xcodec2-25TPS-24k with Transformers:
# Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("Scicom-intl/xcodec2-25TPS-24k", trust_remote_code=True) model = AutoModel.from_pretrained("Scicom-intl/xcodec2-25TPS-24k", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload checkpoint/epoch=3-step=2325000.ckpt with huggingface_hub
Browse files
checkpoint/epoch=3-step=2325000.ckpt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2f6942e06f0a6f41d459dbe71436ace8eeafd14c0e2c7ca4f9b8f5fcad297d65
|
| 3 |
+
size 5144889455
|