laidline-transformers
Helper for model.generate(..., logits_processor=[marker.text_logits_processor(...)]).
from laidline import MarkContext, Marker
from laidline_transformers import generate_marked
marker = Marker.from_config("laidline.yaml") # watermark.text.enabled: true
text, record = generate_marked(model, tokenizer, prompt, marker, MarkContext(), max_new_tokens=300)
# record.status is "ok", or "unmarked" with record.reason (below_min_tokens, greedy_decoding, ...)
The evidence entry records token counts and the completion's SHA-256 and byte length, never the prompt or text.
Metadata
Release files for laidline-transformers 1.0.3
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| File | Size | Uploaded | Provenance | Actions |
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| laidline_transformers-1.0.3-py3-none-any.whl | Python 3 | none | any | Details for laidline_transformers-1.0.3-py3-none-any.whl |
Total release size: 20.5 kB
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