Push model using huggingface_hub.

.gitattributes

@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+path filter=lfs diff=lfs merge=lfs -text

README.md

@@ -19,19 +19,18 @@ IR](https://experimaestro-ir.readthedocs.io/en/latest/)
 ```py from xpmir.models import AutoModel
 from xpmir.models import AutoModel
 
-# Model that can be re-used in experiments 
-model = AutoModel.load_from_hf_hub("xpmir/SPLADE_DistilMSE")
+# Model that can be re-used in experiments
+model, init_tasks = AutoModel.load_from_hf_hub("xpmir/SPLADE_DistilMSE")
 
-# Use this if you want to actually use the model 
+# Use this if you want to actually use the model
 model = AutoModel.load_from_hf_hub("xpmir/SPLADE_DistilMSE", as_instance=True)
-model.initialize() model.rsv("walgreens store sales average", "The average
-Walgreens salary ranges...")
+model.rsv("walgreens store sales average", "The average Walgreens salary ranges...")
 ```
 
-
 ## Results
 
 | Dataset  | AP | P@20 | RR | RR@10 | nDCG | nDCG@10 | nDCG@20  |
 |----| ---|------|------|------|------|------|------|
-| trec2019 | 0.5102 | 0.7360 | 0.9612 | 0.9612 | 0.7407 | 0.7300 | 0.7097 |
-| msmarco_dev | 0.3623 | 0.0384 | 0.3673 | 0.3560 | 0.4870 | 0.4207 | 0.4451 |
+| msmarco_dev | 0.3642 | 0.0382 | 0.3693 | 0.3582 | 0.4879 | 0.4222 | 0.4458 |
+| trec2019 | 0.4896 | 0.7209 | 0.9496 | 0.9496 | 0.7253 | 0.7055 | 0.6926 |
+| trec2020 | 0.5026 | 0.6315 | 0.9483 | 0.9475 | 0.7273 | 0.6868 | 0.6627 |

definition.json

@@ -1 +1 @@
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