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

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+---
+tags:
+- spacy
+- token-classification
+language:
+- ca
+license: GNU-GPL-3.0
+model-index:
+- name: ca_core_news_trf
+  results:
+  - task:
+      name: NER
+      type: token-classification
+    metrics:
+    - name: NER Precision
+      type: precision
+      value: 0.9131561892
+    - name: NER Recall
+      type: recall
+      value: 0.9116790683
+    - name: NER F Score
+      type: f_score
+      value: 0.9124170309
+  - task:
+      name: POS
+      type: token-classification
+    metrics:
+    - name: POS Accuracy
+      type: accuracy
+      value: 0.9830108081
+  - task:
+      name: SENTER
+      type: token-classification
+    metrics:
+    - name: SENTER Precision
+      type: precision
+      value: 0.9929906542
+    - name: SENTER Recall
+      type: recall
+      value: 0.9947337624
+    - name: SENTER F Score
+      type: f_score
+      value: 0.993861444
+  - task:
+      name: UNLABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Unlabeled Dependencies Accuracy
+      type: accuracy
+      value: 0.9474709895
+  - task:
+      name: LABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Labeled Dependencies Accuracy
+      type: accuracy
+      value: 0.9474709895
+---
 ### Details: https://spacy.io/models/ca#ca_core_news_trf
 
 Catalan transformer pipeline (bsc/roberta-base-ca-cased). Components: transformer, morphologizer, parser, ner, attribute_ruler, lemmatizer.