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Types & classes13 in github.com/explosion/spacy-transformers

↓ 9 callersClassTransformerModel
spacy_transformers/layers/transformer_model.py:25
↓ 6 callersClassHFObjects
spacy_transformers/data_classes.py:385
↓ 4 callersClassWordpieceBatch
Holds data from the transformers BatchEncoding class. We would have preferred to use the BatchEncoding class directly, but there's a few prob
spacy_transformers/data_classes.py:18
↓ 3 callersClassClassificationTransformerModel
spacy_transformers/tests/test_model_sequence_classification.py:28
↓ 2 callersClassDummyTokenizer
spacy_transformers/tests/util.py:31
↓ 2 callersClassFullTransformerBatch
Holds a batch of input and output objects for a transformer model. The data can then be split to a list of `TransformerData` objects to associate
spacy_transformers/data_classes.py:245
↓ 2 callersClassTransformer
spaCy pipeline component that provides access to a transformer model from the Huggingface transformers library. Usually you will connect subsequen
spacy_transformers/pipeline_component.py:88
↓ 2 callersClassTransformerData
Transformer tokens and outputs for one Doc object. The transformer models return tensors that refer to a whole padded batch of documents. The
spacy_transformers/data_classes.py:140
↓ 1 callersClassDummyModel
spacy_transformers/tests/util.py:164
↓ 1 callersClassHFShim
Interface between a HF Pytorch model and a Thinc Model.
spacy_transformers/layers/hf_shim.py:18
↓ 1 callersClassTransformerListener
A layer that gets fed its answers from an upstream connection, for instance from a component earlier in the pipeline.
spacy_transformers/layers/listener.py:8
Classbuild_ext_options
setup.py:27
Classbuild_ext_subclass
setup.py:39