Tokenizer Saving

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From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Tokenizer Saving has 2 facts recorded in Dontopedia across 1 reference.

2 facts·2 predicates·1 sources

Inbound mentions (1)

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`usedBy`Used by(1)

File Pathex:file-path

Other facts (2)

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2 facts

Predicate	Value	Ref
Function	tokenizer.save_pretrained	[1]
Saves to	./fine_tuned_model	[1]

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2 undated

—

functionbeam/eb869acc-2b0a-4006-98fb-a7f182c6bf42

tokenizer.save_pretrained

—

saves-tobeam/eb869acc-2b0a-4006-98fb-a7f182c6bf42

./fine_tuned_model

References (1)

1 references

[1]Eb869acc 2b0a 4006 98fb A7f182c6bf422 facts
ctx:claims/beam/eb869acc-2b0a-4006-98fb-a7f182c6bf42
- full textbeam-chunk
  text/plain1 KBdoc:beam/eb869acc-2b0a-4006-98fb-a7f182c6bf42
  Show excerpt
  reformulated_queries = [model.generate(tokenizer(f"reformulate: {q}", return_tensors="pt", max_length=512, truncation=True)['input_ids'], max_length=512)[0] for q in original_queries] reformulated_texts = [tokenizer.decode(output, skip_spec…

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