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spacy
/
it_core_news_lg

Token Classification
spaCy
Italian
Eval Results
Model card Files Community
adrianeboyd commited on
Commit
4d021ee
•
1 Parent(s): 600fad0

Update spaCy pipeline

Browse files
Files changed (7) hide show
  1. README.md +2 -2
  2. accuracy.json +1 -1
  3. config.cfg +2 -0
  4. it_core_news_lg-any-py3-none-any.whl +2 -2
  5. meta.json +4 -4
  6. morphologizer/cfg +1 -0
  7. tagger/cfg +1 -0
README.md CHANGED
@@ -78,8 +78,8 @@ Italian pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger,
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `it_core_news_lg` |
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- | **Version** | `3.5.0` |
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- | **spaCy** | `>=3.5.0,<3.6.0` |
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  | **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
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  | **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
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  | **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) |
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `it_core_news_lg` |
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+ | **Version** | `3.6.0` |
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+ | **spaCy** | `>=3.6.0,<3.7.0` |
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  | **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
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  | **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
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  | **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) |
accuracy.json CHANGED
@@ -319,5 +319,5 @@
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  "f": 0.8140186916
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  }
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  },
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- "speed": 12383.3618534042
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  }
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  "f": 0.8140186916
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  }
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  },
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+ "speed": 12180.0301510887
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  }
config.cfg CHANGED
@@ -46,6 +46,7 @@ upstream = "tok2vec"
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  [components.morphologizer]
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  factory = "morphologizer"
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  extend = false
 
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  overwrite = true
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  scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
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@@ -143,6 +144,7 @@ maxout_pieces = 2
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  [components.tagger]
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  factory = "tagger"
 
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  neg_prefix = "!"
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  overwrite = false
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  scorer = {"@scorers":"spacy.tagger_scorer.v1"}
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  [components.morphologizer]
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  factory = "morphologizer"
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  extend = false
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+ label_smoothing = 0.0
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  overwrite = true
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  scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
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  [components.tagger]
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  factory = "tagger"
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+ label_smoothing = 0.0
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  neg_prefix = "!"
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  overwrite = false
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  scorer = {"@scorers":"spacy.tagger_scorer.v1"}
it_core_news_lg-any-py3-none-any.whl CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:058eb2554b7ed3b6b8d4a9aca820941b57d6d134e982806fbaf72e5cc0e04847
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- size 567874791
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:4278169743bcc89e8aaefced6b1043b2de1b0625a52fb327bc293866db9b5d02
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+ size 567874844
meta.json CHANGED
@@ -1,14 +1,14 @@
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  {
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  "lang":"it",
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  "name":"core_news_lg",
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- "version":"3.5.0",
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  "description":"Italian pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, parser, lemmatizer (trainable_lemmatizer), senter, ner.",
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  "author":"Explosion",
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  "email":"contact@explosion.ai",
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  "url":"https://explosion.ai",
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  "license":"CC BY-NC-SA 3.0",
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- "spacy_version":">=3.5.0,<3.6.0",
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- "spacy_git_version":"9e0322de1",
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  "vectors":{
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  "width":300,
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  "vectors":500000,
@@ -817,7 +817,7 @@
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  "f":0.8140186916
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  }
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  },
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- "speed":12383.3618534042
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  },
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  "sources":[
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  {
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  {
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  "lang":"it",
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  "name":"core_news_lg",
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+ "version":"3.6.0",
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  "description":"Italian pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, parser, lemmatizer (trainable_lemmatizer), senter, ner.",
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  "author":"Explosion",
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  "email":"contact@explosion.ai",
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  "url":"https://explosion.ai",
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  "license":"CC BY-NC-SA 3.0",
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+ "spacy_version":">=3.6.0,<3.7.0",
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+ "spacy_git_version":"cb4fdc83e",
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  "vectors":{
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  "width":300,
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  "vectors":500000,
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  "f":0.8140186916
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  }
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  },
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+ "speed":12180.0301510887
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  },
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  "sources":[
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  {
morphologizer/cfg CHANGED
@@ -1,5 +1,6 @@
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  {
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  "extend":false,
 
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  "labels_morph":{
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  "POS=PROPN":"",
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  "POS=PUNCT":"",
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  {
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  "extend":false,
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+ "label_smoothing":0.0,
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  "labels_morph":{
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  "POS=PROPN":"",
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  "POS=PUNCT":"",
tagger/cfg CHANGED
@@ -1,4 +1,5 @@
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  {
 
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  "labels":[
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  "A",
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  "AP",
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  {
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+ "label_smoothing":0.0,
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  "labels":[
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  "A",
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  "AP",