Integrate HuggingFace tokenizer for BPE tokenization - #23
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Add PyxisTokenizer wrapper around the tokenizers crate, providing encode (text → token IDs) and decode (token IDs → text). This is the input side of the inference pipeline — converting text to the token ID sequence that Embedding can look up. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Closes #11
Summary
PyxisTokenizerwrapper around the HuggingFacetokenizerscrateload(path)loads a tokenizer.json fileencode(text)converts text to token IDsdecode(token_ids)converts token IDs back to textNote: This PR covers the tokenizer integration part of Issue #11. The autoregressive generation loop requires Issue #10 (output head) first and will be implemented separately.
Test plan
cargo clippy -- -D warningscleancargo checkclean🤖 Generated with Claude Code