Tokenization Params

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From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)

Tokenization Params has 3 facts recorded in Dontopedia across 1 reference.

3 facts·3 predicates·1 sources

Inbound mentions (2)

Other 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.

`isCalledWith`Is Called With(1)

Tokenizerex:tokenizer

`usesKeywordArgs`Uses Keyword Args(1)

Tokenizer Callex:tokenizer-call

Other facts (3)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

3 facts

Predicate	Value	Ref
Has Padding	true	[1]
Has Truncation	true	[1]
Has Return Tensors	pt	[1]

Timeline 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.

3 undated

—

hasPaddingbeam/7086b533-5e24-4160-8df0-c927a68eff61

true

—

hasTruncationbeam/7086b533-5e24-4160-8df0-c927a68eff61

true

—

hasReturnTensorsbeam/7086b533-5e24-4160-8df0-c927a68eff61

References (1)

1 references

[1]7086b533 5e24 4160 8df0 C927a68eff613 facts
ctx:claims/beam/7086b533-5e24-4160-8df0-c927a68eff61
- full textbeam-chunk
  text/plain1 KBdoc:beam/7086b533-5e24-4160-8df0-c927a68eff61
  Show excerpt
  # Load pre-trained model and tokenizer model_name = "bert-base-uncased" model = AutoModel.from_pretrained(model_name) tokenizer = AutoTokenizer.from_pretrained(model_name) # Move the model to GPU if available device = torch.device("cuda" …

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