mirror of https://github.com/explosion/spaCy.git
Update universe.json [ci skip]
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@ -758,7 +758,7 @@
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],
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],
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"category": ["pipeline", "standalone", "visualizers"],
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"category": ["pipeline", "standalone", "visualizers"],
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"tags": ["vectors"],
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"tags": ["vectors"],
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"author": "Explosion AI",
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"author": "Explosion",
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"author_links": {
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"author_links": {
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"twitter": "explosion_ai",
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"twitter": "explosion_ai",
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"github": "explosion",
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"github": "explosion",
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@ -918,7 +918,7 @@
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],
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],
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"code_language": "bash",
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"code_language": "bash",
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"category": ["standalone", "training"],
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"category": ["standalone", "training"],
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"author": "Explosion AI",
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"author": "Explosion",
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"author_links": {
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"author_links": {
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"twitter": "explosion_ai",
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"twitter": "explosion_ai",
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"github": "explosion",
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"github": "explosion",
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@ -1559,6 +1559,30 @@
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"author_links": {
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"author_links": {
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"github": "richardpaulhudson"
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"github": "richardpaulhudson"
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}
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}
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},
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{
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"id": "spacy-pytorch-transformers",
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"title": "spacy-pytorch-transformers",
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"slogan": "spaCy pipelines for pre-trained BERT, XLNet and GPT-2",
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"description": "This package provides spaCy model pipelines that wrap [Hugging Face's `pytorch-transformers`](https://github.com/huggingface/pytorch-transformers) package, so you can use them in spaCy. The result is convenient access to state-of-the-art transformer architectures, such as BERT, GPT-2, XLNet, etc.",
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"github": "explosion/spacy-pytorch-transformers",
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"url": "https://explosion.ai/blog/spacy-pytorch-transformers",
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"pip": "spacy-pytorch-transformers",
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"category": ["pipeline", "models", "research"],
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"code_example": [
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"import spacy",
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"",
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"nlp = spacy.load(\"en_pytt_bertbaseuncased_lg\")",
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"doc = nlp(\"Apple shares rose on the news. Apple pie is delicious.\")",
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"print(doc[0].similarity(doc[7]))",
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"print(doc._.pytt_last_hidden_state.shape)"
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],
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"author": "Explosion",
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"author_links": {
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"twitter": "explosion_ai",
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"github": "explosion",
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"website": "https://explosion.ai"
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}
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}
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}
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],
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],
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