rdfs:labelindicatesenablesActionOther subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. “X motherOf this subject” — and answer questions the forward facts can't. Grouped by predicate.
calledWithCalled With(2)ex:BertTokenizerex:tokenizerkeywordArgumentKeyword Argument(1)ex:tokenizer_callparameterParameter(1)ex:tokenizeparameterValueParameter Value(1)ex:tokenizerpassesPasses(1)ex:tokenizer_callpassesParameterPasses Parameter(1)ex:preprocess_input_datasets_parameterSets Parameter(1)tokenizer_callTimeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
doc:beam/465dcb64-9710-4e90-8651-452b28528272def __init__(self, texts, tokenizer): self.texts = texts self.tokenizer = tokenizer def __len__(self): return len(self.texts) def __getitem__(self, idx): inputs = self.tokenizer(self.tex…
doc:beam/e30c9b5a-0f4a-42ec-a48a-5900c9820befself.tokenizer = AutoTokenizer.from_pretrained(model_name) self.max_tokens = max_tokens self.cache = OrderedDict() # Using OrderedDict to maintain LRU behavior self.logger = logging.getLogger(__name__) …
doc:beam/b1a504a7-e1fc-424f-99e4-366a07357bfa# Load pre-trained model and tokenizer model = AutoModel.from_pretrained('distilbert-base-uncased') tokenizer = AutoTokenizer.from_pretrained('distilbert-base-uncased') # Define a function to calculate embedding dimensions def calculate_e…
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