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Merge branch 'explosion:master' into nv1
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commit
97161c3ee8
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@ -117,7 +117,7 @@ For detailed installation instructions, see the
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- **Operating system**: macOS / OS X · Linux · Windows (Cygwin, MinGW, Visual
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- **Operating system**: macOS / OS X · Linux · Windows (Cygwin, MinGW, Visual
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Studio)
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Studio)
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- **Python version**: Python 3.7+ (only 64 bit)
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- **Python version**: Python >=3.7, <=3.12 (only 64 bit)
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- **Package managers**: [pip] · [conda] (via `conda-forge`)
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- **Package managers**: [pip] · [conda] (via `conda-forge`)
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[pip]: https://pypi.org/project/spacy/
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[pip]: https://pypi.org/project/spacy/
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@ -268,7 +268,12 @@ require_gpu(0)
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nlp = spacy.load("en_core_web_trf")
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nlp = spacy.load("en_core_web_trf")
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for doc in nlp.pipe(["some text", "some other text"]):
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for doc in nlp.pipe(["some text", "some other text"]):
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tokvecs = doc._.trf_data.tensors[-1]
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# For spaCy v3.0-v3.6, trf pipelines use spacy-transformers and the transformer output in doc._.trf_data is a TransformerData object.
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try:
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tokvecs = doc._.trf_data.tensors[-1]
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# For spaCy v3.7+, trf pipelines use spacy-curated-transformers and doc._.trf_data is a DocTransformerOutput object.
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except AttributeError as e:
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tokvecs = doc._.trf_data.last_hidden_layer_state # or doc._.trf_data.all_outputs[-1]
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```
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```
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You can also customize how the [`Transformer`](/api/transformer) component sets
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You can also customize how the [`Transformer`](/api/transformer) component sets
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@ -1307,7 +1307,7 @@
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},
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},
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{
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{
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"id": "Chatterbot",
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"id": "Chatterbot",
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"title": "Chatterbot",
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"title": "ChatterBot",
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"slogan": "A machine-learning based conversational dialog engine for creating chat bots",
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"slogan": "A machine-learning based conversational dialog engine for creating chat bots",
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"github": "gunthercox/ChatterBot",
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"github": "gunthercox/ChatterBot",
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"pip": "chatterbot",
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"pip": "chatterbot",
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