Dontopedia

Sequence Classification Model

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Sequence Classification Model has 5 facts recorded in Dontopedia across 1 reference.

5 facts·5 predicates·1 sources

Mostly:rdf:type(1), created by(1), intended for(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (4)

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configuredForConfigured for(1)

rdf:typeRdf:type(1)

sharesConfigWithShares Config With(1)

usedByUsed by(1)

Other facts (5)

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5 facts
PredicateValueRef
Rdf:typeAuto Model for Sequence Classification[1]
Created byFrom Pretrained[1]
Intended forSequence Classification Task[1]
Uses TokenizerTokenizer[1]
Initialized BeforeTokenizer[1]

Timeline

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typebeam/14cf4eab-a053-4cf0-b374-9022e5e69c19
ex:AutoModelForSequenceClassification
createdBybeam/14cf4eab-a053-4cf0-b374-9022e5e69c19
ex:from_pretrained
intendedForbeam/14cf4eab-a053-4cf0-b374-9022e5e69c19
ex:sequence_classification_task
usesTokenizerbeam/14cf4eab-a053-4cf0-b374-9022e5e69c19
ex:tokenizer
initializedBeforebeam/14cf4eab-a053-4cf0-b374-9022e5e69c19
ex:tokenizer

References (1)

1 references
  1. ctx:claims/beam/14cf4eab-a053-4cf0-b374-9022e5e69c19
    • full textbeam-chunk
      text/plain1 KBdoc:beam/14cf4eab-a053-4cf0-b374-9022e5e69c19
      Show excerpt
      model = AutoModelForSequenceClassification.from_pretrained(model_name, num_labels=len(df['label'].unique())) tokenizer = AutoTokenizer.from_pretrained(model_name) # Tokenize the data train_encodings = tokenizer(train_df['query'].tolist(),

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