Instructions to use webis/set-encoder-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Lightning IR
How to use webis/set-encoder-large with Lightning IR:
#install from https://github.com/webis-de/lightning-ir from lightning_ir import CrossEncoderModule model = CrossEncoderModule("webis/set-encoder-large") model.score("query", ["doc1", "doc2", "doc3"]) - Notebooks
- Google Colab
- Kaggle
add linear bias
Browse files- config.json +1 -0
config.json
CHANGED
|
@@ -15,6 +15,7 @@
|
|
| 15 |
"initializer_range": 0.02,
|
| 16 |
"intermediate_size": 4096,
|
| 17 |
"layer_norm_eps": 1e-12,
|
|
|
|
| 18 |
"max_position_embeddings": 512,
|
| 19 |
"model_type": "set-encoder",
|
| 20 |
"num_attention_heads": 16,
|
|
|
|
| 15 |
"initializer_range": 0.02,
|
| 16 |
"intermediate_size": 4096,
|
| 17 |
"layer_norm_eps": 1e-12,
|
| 18 |
+
"linear_bias": true,
|
| 19 |
"max_position_embeddings": 512,
|
| 20 |
"model_type": "set-encoder",
|
| 21 |
"num_attention_heads": 16,
|