Update spaCy pipeline

.gitattributes

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 *.npz filter=lfs diff=lfs merge=lfs -text
 *strings.json filter=lfs diff=lfs merge=lfs -text
 vectors filter=lfs diff=lfs merge=lfs -text
+model filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,61 @@
+---
+tags:
+- spacy
+- token-classification
+language:
+- it
+license: CC-BY-NC-SA-3.0
+model-index:
+- name: it_core_news_md
+  results:
+  - task:
+      name: NER
+      type: token-classification
+    metrics:
+    - name: NER Precision
+      type: precision
+      value: 0.8725589357
+    - name: NER Recall
+      type: recall
+      value: 0.8744298468
+    - name: NER F Score
+      type: f_score
+      value: 0.8734933894
+  - task:
+      name: POS
+      type: token-classification
+    metrics:
+    - name: POS Accuracy
+      type: accuracy
+      value: 0.9705195039
+  - task:
+      name: SENTER
+      type: token-classification
+    metrics:
+    - name: SENTER Precision
+      type: precision
+      value: 0.9752650177
+    - name: SENTER Recall
+      type: recall
+      value: 0.9787234043
+    - name: SENTER F Score
+      type: f_score
+      value: 0.9769911504
+  - task:
+      name: UNLABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Unlabeled Dependencies Accuracy
+      type: accuracy
+      value: 0.9059943401
+  - task:
+      name: LABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Labeled Dependencies Accuracy
+      type: accuracy
+      value: 0.9059943401
+---
 ### Details: https://spacy.io/models/it#it_core_news_md
 
 Italian pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, parser, senter, ner, attribute_ruler, lemmatizer.