kserve / kserve/website

docs: add HuggingFace token classification offset_mapping documentation

Open Beginner friendly
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MDX
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113
Forks
193
Avg merge
5d 20h
Merged PRs (30d)
3

Description

## Summary

KServe v0.18 added `offset_mapping` output support for HuggingFace token classification tasks. The existing token classification doc (`docs/model-serving/predictive-inference/frameworks/huggingface/token-classification/token-classification.md`) does not mention this feature.

## What needs to be documented

- How to enable `offset_mapping` output for token classification tasks
- What `offset_mapping` provides (character-level position information for each classified token)
- Use cases: NER and span-extraction applications
- Example request/response showing offset_mapping output

## Related PR

- https://github.com/kserve/kserve/pull/5244

## Since

KServe v0.18

Contributor guide

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Research direction

Start by reading docs/model-serving/predictive-inference/frameworks/huggingface/token-classification/token-classification.md and the related PR 5244. Document how to enable offset_mapping, explain its character-level token positions and NER/span-extraction uses, and add a request/response example showing the output.

Written by the indexing model from the issue text.

Assessment

Tech stack
huggingface
Domain
documentation, machine-learning
Issue type
Documentation
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Quiet
Clarity
Clearly specified
Newbie friendliness
78/100

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