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
File size: 213 Bytes
93e133d | 1 2 3 4 5 6 7 8 9 10 11 | {
"activation": "softplus",
"architectures": [
"EPICQueryEncoder"
],
"backbone": "distilbert-base-uncased",
"model_type": "lsr_epic",
"torch_dtype": "float32",
"transformers_version": "4.31.0"
}
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