Update metadata for new model weights

README.md

@@ -3,11 +3,43 @@
 license: apache-2.0
 library_name: span-marker
 tags:
-- span-marker
-- token-classification
-- ner
-- named-entity-recognition
+  - span-marker
+  - token-classification
+  - ner
+  - named-entity-recognition
 pipeline_tag: token-classification
+model-index:
+  - name: >-
+      SpanMarker w. bert-base-cased on coarsegrained, supervised FewNERD by Tom
+      Aarsen
+    results:
+      - task:
+          type: token-classification
+          name: Named Entity Recognition
+        dataset:
+          type: DFKI-SLT/few-nerd
+          name: coarsegrained, supervised FewNERD
+          config: supervised
+          split: test
+          revision: 2e3e727c63604fbfa2ff4cc5055359c84fe5ef2c
+        metrics:
+          - type: f1
+            value: 0.7081
+            name: F1
+          - type: precision
+            value: 0.7378
+            name: Precision
+          - type: recall
+            value: 0.6808
+            name: Recall
+datasets:
+  - DFKI-SLT/few-nerd
+language:
+  - en
+metrics:
+  - f1
+  - recall
+  - precision
 ---
 
 # SpanMarker for Named Entity Recognition
@@ -28,7 +60,7 @@ You can then run inference with this model like so:
 from span_marker import SpanMarkerModel
 
 # Download from the 🤗 Hub
-model = SpanMarkerModel.from_pretrained("span_marker_model_name")
+model = SpanMarkerModel.from_pretrained("tomaarsen/span-marker-bert-tiny-fewnerd-coarse-super")
 # Run inference
 entities = model.predict("Amelia Earhart flew her single engine Lockheed Vega 5B across the Atlantic to Paris.")
 ```