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explosion spaCy Help-coding-implementations Discussions
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💻 Help: Coding & Implementations Discussions
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You must be logged in to vote 💻 Custom Tokenizer: separating words with ":" in between
feat / tokenizerFeature: Tokenizer -
You must be logged in to vote 💻 nlp.add_pipe()
throwsValueError
Feature: Processing pipeline and components -
You must be logged in to vote 💻 pyinstaller hidden-imports for spacy deployment (windows)
windowsIssues related to Windows third-partyThird-party packages and services -
You must be logged in to vote 💻 Can't retrieve unregistered extension attribute 'language' when using nlp.pipe with n_process > 1 and spacy-langdetect
third-partyThird-party packages and services feat / docFeature: Doc, Span and Token objects -
You must be logged in to vote 💻 Loading transformer model/pipeline via spacy-transformers
feat / transformerFeature: Transformer -
You must be logged in to vote 💻 How to resume model training from latest checkpoint in spacy?
usageGeneral spaCy usage trainingTraining and updating models -
You must be logged in to vote 💻 Obtaining Test Data Categories after Running Evaluate?
usageGeneral spaCy usage feat / textcatFeature: Text Classifier feat / cliFeature: Command-line interface -
You must be logged in to vote 💻 Custom Tokenization messing up NER
feat / nerFeature: Named Entity Recognizer feat / tokenizerFeature: Tokenizer -
You must be logged in to vote 💻 Spacy stalls after its finished initializing
trainingTraining and updating models feat / trainingFeature: Training utils, Example, Corpus and converters -
You must be logged in to vote 💻 Re-training exisitng NER trf model
trainingTraining and updating models feat / nerFeature: Named Entity Recognizer feat / transformerFeature: Transformer -
You must be logged in to vote 💻 Misaligned entities ('-') will be ignored during training - warning
trainingTraining and updating models feat / nerFeature: Named Entity Recognizer -
You must be logged in to vote 💻 Trying to plug NER model with Relation Extraction model in pipeline
usageGeneral spaCy usage feat / nerFeature: Named Entity Recognizer projectsspaCy projects and project templates feat / relFeature: Relation Extractor -
You must be logged in to vote 💻 How to create reference for scoring
feat / trainingFeature: Training utils, Example, Corpus and converters -
You must be logged in to vote 💻 Language.from_bytes creating a blank model
feat / serializeFeature: Serialization, saving and loading -
You must be logged in to vote 💻 List of all supported Named Entities
modelsIssues related to the statistical models feat / nerFeature: Named Entity Recognizer -
You must be logged in to vote 💻 How to use spacy ner with blank
usageGeneral spaCy usage feat / nerFeature: Named Entity Recognizer -
You must be logged in to vote 💻 creating a new Doc with POS values results in KeyError
feat / docFeature: Doc, Span and Token objects -
You must be logged in to vote 💻 TextCat component with external embeddings (e.g. Universal Sentence Encoder) possible?
trainingTraining and updating models feat / textcatFeature: Text Classifier feat / tok2vecFeature: Token-to-vector layer and pretraining -
You must be logged in to vote 💻 Problem using SpanCategorizer - can't initialize labels
feat / spancatFeature: Span Categorizer -
You must be logged in to vote 💻 Training pipeline SentenceRecognizer
feat / senterFeature: Sentence Recognizer -
You must be logged in to vote 💻 See progress with batch processing on a large collection?
trainingTraining and updating models -
You must be logged in to vote 💻 Error when removing and adding trainable pipes
usageGeneral spaCy usage feat / pipelineFeature: Processing pipeline and components feat / tok2vecFeature: Token-to-vector layer and pretraining -
You must be logged in to vote 💻 AttributeError: 'English' object has no attribute 'tag_map'
third-partyThird-party packages and services v2spaCy v2.x -
You must be logged in to vote 💻 loss resets after resuming pretraining
feat / tok2vecFeature: Token-to-vector layer and pretraining -
You must be logged in to vote 💻 Inflated doc_bin size when piping as_tuples
feat / docFeature: Doc, Span and Token objects perf / memoryPerformance: memory use