Update spaCy pipeline

.gitattributes

@@ -18,3 +18,4 @@
 *.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:
+- fr
+license: LGPL-LR
+model-index:
+- name: fr_core_news_lg
+  results:
+  - task:
+      name: NER
+      type: token-classification
+    metrics:
+    - name: NER Precision
+      type: precision
+      value: 0.8431266739
+    - name: NER Recall
+      type: recall
+      value: 0.8443416997
+    - name: NER F Score
+      type: f_score
+      value: 0.8437337493
+  - task:
+      name: POS
+      type: token-classification
+    metrics:
+    - name: POS Accuracy
+      type: accuracy
+      value: 0.947357577
+  - task:
+      name: SENTER
+      type: token-classification
+    metrics:
+    - name: SENTER Precision
+      type: precision
+      value: 0.8521126761
+    - name: SENTER Recall
+      type: recall
+      value: 0.9029253272
+    - name: SENTER F Score
+      type: f_score
+      value: 0.8715586104
+  - task:
+      name: UNLABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Unlabeled Dependencies Accuracy
+      type: accuracy
+      value: 0.897142196
+  - task:
+      name: LABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Labeled Dependencies Accuracy
+      type: accuracy
+      value: 0.897142196
+---
 ### Details: https://spacy.io/models/fr#fr_core_news_lg
 
 French pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.