explosion spaCy Help-other-questions Discussions
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You must be logged in to vote nlp.pipe 3x slower on m1 mac (python installed natively, no rosetta)
osxIssues related to macOS / OSX plat / m1Apple M1 architecture support -
You must be logged in to vote TextCategorizer.from_disk unable to load trained model
feat / serializeFeature: Serialization, saving and loading -
You must be logged in to vote The NER log difference between using tok2vec and transformers
trainingTraining and updating models -
You must be logged in to vote Please better explain what "annotating_components" means?
trainingTraining and updating models feat / configFeature: Training config -
You must be logged in to vote Does en_core_web_trf truncate documents to 512?
feat / transformerFeature: Transformer -
You must be logged in to vote What "noise" is being referred to in spaCy's debug?
feat / nerFeature: Named Entity Recognizer feat / cliFeature: Command-line interface feat / trainingFeature: Training utils, Example, Corpus and converters -
You must be logged in to vote How to properly mock a spacy Vocab?
feat / pipelineFeature: Processing pipeline and components feat / visualizersFeature: Built-in displaCy and other visualizers feat / docFeature: Doc, Span and Token objects -
You must be logged in to vote Understanding NER architecture
feat / nerFeature: Named Entity Recognizer -
You must be logged in to vote Spancat - help understanding training memory usage
more-info-neededThis issue needs more information ✨ prodigyIssues related to using spaCy with the Prodigy annotation tool perf / memoryPerformance: memory use feat / spancatFeature: Span Categorizer -
You must be logged in to vote SpanCat category limit
feat / spancatFeature: Span Categorizer -
You must be logged in to vote Lemmatizer lookups are case-sensitive
lang / enEnglish language data and models feat / lemmatizerFeature: Rule-based and lookup lemmatization -
You must be logged in to vote NER Training with Frozen Tok2Vec causes "The Tok2Vec listener did not receive any valid input from an upstream component."
trainingTraining and updating models feat / pipelineFeature: Processing pipeline and components -
You must be logged in to vote Components Required for Lemmatizer
lang / enEnglish language data and models feat / lemmatizerFeature: Rule-based and lookup lemmatization perf / speedPerformance: speed -
You must be logged in to vote How are models structured?
modelsIssues related to the statistical models feat / trainingFeature: Training utils, Example, Corpus and converters -
You must be logged in to vote SentenceSegmenter in v3?
feat / sentencizerFeature: Sentencizer (rule-based sentence segmenter) -
You must be logged in to vote Semicolon doesn't split tokens
lang / enEnglish language data and models feat / tokenizerFeature: Tokenizer -
You must be logged in to vote NER confidence on pre-trained spaCy models
feat / nerFeature: Named Entity Recognizer -
You must be logged in to vote Huggingface tokenizer provides incorrect model_max_length
feat / transformerFeature: Transformer -
You must be logged in to vote Projectivity of the parse tree
lang / enEnglish language data and models -
You must be logged in to vote Spacy loss calculation
feat / nerFeature: Named Entity Recognizer feat / transformerFeature: Transformer -
You must be logged in to vote Understanding Lemmatisation
lang / enEnglish language data and models feat / lemmatizerFeature: Rule-based and lookup lemmatization -
You must be logged in to vote NE and NNE in German PoS tag set. Explanation? (Or documentation error?)
lang / deGerman language data and models -
You must be logged in to vote How to load the thinc model associated with a trained component ?
feat / serializeFeature: Serialization, saving and loading -
You must be logged in to vote Incorrect lemma casing for English proper adjectives
lang / enEnglish language data and models feat / lemmatizerFeature: Rule-based and lookup lemmatization -
You must be logged in to vote Spacy model
third-partyen-core-web-trfhangs when executed in a celery taskThird-party packages and services feat / transformerFeature: Transformer
