Instructions to use jfkback/hypencoder.4_layer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jfkback/hypencoder.4_layer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jfkback/hypencoder.4_layer")# Load model directly from transformers import HypencoderDualEncoder model = HypencoderDualEncoder.from_pretrained("jfkback/hypencoder.4_layer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
5475722 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:47b9807932f86a33c7ab7c6746cd04d15813f7193a00069f1c574419691a1f25
size 520737422
|