Feature Extraction
Transformers
liferay
temporal-composition
xenial-manifold
kairos
autotrack
custom_code
Instructions to use augerd/liferay with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use augerd/liferay with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="augerd/liferay", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("augerd/liferay", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from augerd/liferay: direct link, hf CLI and curl.
- Browser
- Download file 321 Bytes
-
https://huggingface.co/augerd/liferay/resolve/main/config.json
- Command line
-
hf download hf://augerd/liferay/config.json
-
curl -L -o config.json https://huggingface.co/augerd/liferay/resolve/main/config.json
321 Bytes
| { | |
| "architectures": [ | |
| "LiferayModel" | |
| ], | |
| "model_type": "liferay", | |
| "f_0": 936.0, | |
| "minor_third": 0.8333333333, | |
| "liferay_teeth": 12, | |
| "leaf_initial": 0.365, | |
| "shade_initial": 0.4, | |
| "auto_map": { | |
| "AutoConfig": "configuration_liferay.LiferayConfig", | |
| "AutoModel": "modeling_liferay.LiferayModel" | |
| } | |
| } | |