Text Classification
Transformers
Safetensors
PEFT
English
retrievalrouter
feature-extraction
retrieval
document-retrieval
information-retrieval
routing
RAG
query-routing
late-interaction
lora
custom_code
Instructions to use emrekuruu/RetrievalRouter-lambda-l30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emrekuruu/RetrievalRouter-lambda-l30 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="emrekuruu/RetrievalRouter-lambda-l30", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("emrekuruu/RetrievalRouter-lambda-l30", trust_remote_code=True, device_map="auto") - PEFT
How to use emrekuruu/RetrievalRouter-lambda-l30 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Set model_type=retrievalrouter
Browse files- config.json +5 -5
config.json
CHANGED
|
@@ -1,10 +1,10 @@
|
|
| 1 |
{
|
| 2 |
"architectures": [
|
| 3 |
-
"
|
| 4 |
],
|
| 5 |
"auto_map": {
|
| 6 |
-
"AutoConfig": "
|
| 7 |
-
"AutoModel": "
|
| 8 |
},
|
| 9 |
"base_model_name": "Qwen/Qwen3-0.6B-Base",
|
| 10 |
"classifier_dropout": 0.1,
|
|
@@ -24,7 +24,7 @@
|
|
| 24 |
"LABEL_3": 3,
|
| 25 |
"LABEL_4": 4
|
| 26 |
},
|
| 27 |
-
"model_type": "
|
| 28 |
"strategy_names": [
|
| 29 |
"MULTIMODAL_RERANK",
|
| 30 |
"MULTIMODAL-SINGLE",
|
|
@@ -33,4 +33,4 @@
|
|
| 33 |
"BM25"
|
| 34 |
],
|
| 35 |
"transformers_version": "5.13.0"
|
| 36 |
-
}
|
|
|
|
| 1 |
{
|
| 2 |
"architectures": [
|
| 3 |
+
"RetrievalRouterModel"
|
| 4 |
],
|
| 5 |
"auto_map": {
|
| 6 |
+
"AutoConfig": "configuration_retrievalrouter.RetrievalRouterConfig",
|
| 7 |
+
"AutoModel": "modeling_retrievalrouter.RetrievalRouterModel"
|
| 8 |
},
|
| 9 |
"base_model_name": "Qwen/Qwen3-0.6B-Base",
|
| 10 |
"classifier_dropout": 0.1,
|
|
|
|
| 24 |
"LABEL_3": 3,
|
| 25 |
"LABEL_4": 4
|
| 26 |
},
|
| 27 |
+
"model_type": "retrievalrouter",
|
| 28 |
"strategy_names": [
|
| 29 |
"MULTIMODAL_RERANK",
|
| 30 |
"MULTIMODAL-SINGLE",
|
|
|
|
| 33 |
"BM25"
|
| 34 |
],
|
| 35 |
"transformers_version": "5.13.0"
|
| 36 |
+
}
|