Module: tfm.nlp.encoders
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Transformer Encoders.
Includes configurations and factory methods.
Classes
class AlbertEncoderConfig
: ALBERT encoder configuration.
class BertEncoderConfig
: BERT encoder configuration.
class BigBirdEncoderConfig
: BigBird encoder configuration.
class EncoderConfig
: Encoder configuration.
class FNetEncoderConfig
: FNet encoder configuration.
class FunnelEncoderConfig
: Funnel encoder configuration.
class KernelEncoderConfig
: Linear encoder configuration.
class MobileBertEncoderConfig
: MobileBERT encoder configuration.
class QueryBertConfig
: Query BERT encoder configuration.
class ReuseEncoderConfig
: Reuse encoder configuration.
class SparseMixerEncoderConfig
: SparseMixer encoder configuration.
class XLNetEncoderConfig
: XLNet encoder configuration.
Functions
build_encoder(...)
: Instantiate a Transformer encoder network from EncoderConfig.
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Last updated 2024-02-02 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-02-02 UTC."],[],[]]