model input
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-05.)
model input has 3 facts recorded in Dontopedia across 1 reference.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (4)
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.
configuresConfigures(1)
- Tokenizer
ex:tokenizer
inverseInverse(1)
- Inputs
ex:inputs
passesThroughUnchangedPasses Through Unchanged(1)
- Dropout Layer 1
ex:dropout-layer-1
typeType(1)
- Batch Inputs
ex:batch_inputs
Other facts (2)
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.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Model Input | [1] |
| Consumed by | Model.generate | [1] |
Timeline
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References (1)
ctx:claims/beam/a74a76e6-7207-4588-8dd3-b9ba1c8b0ad9- full textbeam-chunktext/plain1 KB
doc:beam/a74a76e6-7207-4588-8dd3-b9ba1c8b0ad9Show excerpt
# Decode the answer answer = tokenizer.decode(outputs[0], skip_special_tokens=True) return answer # Test the function question = "What is the capital of France?" answer = generate_answer(question) print("Answer:", answer) ```…
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