Instructions to use lsr42/ep_query_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lsr42/ep_query_encoder with Transformers:
# Load model directly from transformers import EPICQueryEncoder model = EPICQueryEncoder.from_pretrained("lsr42/ep_query_encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "activation": "softplus", | |
| "architectures": [ | |
| "EPICQueryEncoder" | |
| ], | |
| "backbone": "distilbert-base-uncased", | |
| "model_type": "lsr_epic", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.31.0" | |
| } | |