Upload spaCy resume-NER model

.gitattributes

@@ -33,3 +33,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+model-best/ner/model filter=lfs diff=lfs merge=lfs -text
+model-best/ner/moves filter=lfs diff=lfs merge=lfs -text
+model-best/tok2vec/model filter=lfs diff=lfs merge=lfs -text
+model-best/tokenizer filter=lfs diff=lfs merge=lfs -text
+model-best/vocab/vectors filter=lfs diff=lfs merge=lfs -text

model-best/config.cfg

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+[paths]
+train = "./train.spacy"
+dev = "./train.spacy"
+vectors = null
+init_tok2vec = null
+
+[system]
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+seed = 0
+
+[nlp]
+lang = "en"
+pipeline = ["tok2vec","ner"]
+batch_size = 1000
+disabled = []
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
+vectors = {"@vectors":"spacy.Vectors.v1"}
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+[components]
+
+[components.ner]
+factory = "ner"
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+moves = null
+scorer = {"@scorers":"spacy.ner_scorer.v1"}
+update_with_oracle_cut_size = 100
+
+[components.ner.model]
+@architectures = "spacy.TransitionBasedParser.v2"
+state_type = "ner"
+extra_state_tokens = false
+hidden_width = 64
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+use_upper = true
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+[components.ner.model.tok2vec]
+@architectures = "spacy.Tok2VecListener.v1"
+width = ${components.tok2vec.model.encode.width}
+upstream = "*"
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+[components.tok2vec]
+factory = "tok2vec"
+
+[components.tok2vec.model]
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+[components.tok2vec.model.embed]
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+include_static_vectors = false
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+width = 96
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+[corpora]
+
+[corpora.dev]
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+
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+
+[training.batcher.size]
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+[training.logger]
+@loggers = "spacy.ConsoleLogger.v1"
+progress_bar = false
+
+[training.optimizer]
+@optimizers = "Adam.v1"
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+[training.score_weights]
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+[pretraining]
+
+[initialize]
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+[initialize.components]
+
+[initialize.tokenizer]

model-best/meta.json

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+  "name":"pipeline",
+  "version":"0.0.0",
+  "spacy_version":">=3.8.5,<3.9.0",
+  "description":"",
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+  "email":"",
+  "url":"",
+  "license":"",
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+    "ner_loss":0.0002312875
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model-best/ner/cfg

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model-best/vocab/vectors.cfg

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