mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-16 06:37:04 +03:00
53 lines
2.5 KiB
JSON
53 lines
2.5 KiB
JSON
{
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"Doc": "/api/doc",
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"Token": "/api/token",
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"Span": "/api/span",
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"SpanGroup": "/api/spangroup",
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"Lexeme": "/api/lexeme",
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"Example": "/api/example",
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"Alignment": "/api/example#alignment-object",
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"Vocab": "/api/vocab",
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"StringStore": "/api/stringstore",
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"Lookups": "/api/lookups",
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"Table": "/api/lookups#table",
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"Vectors": "/api/vectors",
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"Language": "/api/language",
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"Defaults": "/api/language#defaults",
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"Scorer": "/api/scorer",
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"DocBin": "/api/docbin",
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"FactoryMeta": "/api/language#factorymeta",
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"Tokenizer": "/api/tokenizer",
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"MorphAnalysis": "/api/morphology#morphanalysis",
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"KnowledgeBase": "/api/kb",
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"Candidate": "/api/kb#candidate",
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"Matcher": "/api/matcher",
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"PhraseMatcher": "/api/phrasematcher",
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"TransformerData": "/api/transformer#transformerdata",
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"FullTransformerBatch": "/api/transformer#fulltransformerbatch",
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"Corpus": "/api/corpus",
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"JsonlCorpus": "/api/corpus#jsonlcorpus",
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"LexemeC": "/api/cython-structs#lexemec",
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"TokenC": "/api/cython-structs#tokenc",
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"Config": "https://thinc.ai/docs/api-config#config",
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"Optimizer": "https://thinc.ai/docs/api-optimizers",
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"Model": "https://thinc.ai/docs/api-model",
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"Ragged": "https://thinc.ai/docs/api-types#ragged",
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"Padded": "https://thinc.ai/docs/api-types#padded",
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"Ints2d": "https://thinc.ai/docs/api-types#types",
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"Floats2d": "https://thinc.ai/docs/api-types#types",
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"Floats3d": "https://thinc.ai/docs/api-types#types",
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"FloatsXd": "https://thinc.ai/docs/api-types#types",
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"Array1d": "https://thinc.ai/docs/api-types#types",
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"Array2d": "https://thinc.ai/docs/api-types#types",
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"Ops": "https://thinc.ai/docs/api-backends#ops",
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"cymem.Pool": "https://github.com/explosion/cymem",
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"preshed.BloomFilter": "https://github.com/explosion/preshed",
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"transformers.BatchEncoding": "https://huggingface.co/transformers/main_classes/tokenizer.html#transformers.BatchEncoding",
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"transformers.file_utils.ModelOutput": "https://huggingface.co/transformers/main_classes/output.html#modeloutput",
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"torch.Tensor": "https://pytorch.org/docs/stable/tensors.html",
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"numpy.ndarray": "https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html",
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"Match": "https://docs.python.org/3/library/re.html#match-objects",
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"Pattern": "https://docs.python.org/3/library/re.html#regular-expression-objects",
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"Path": "https://docs.python.org/3/library/pathlib.html"
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}
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