vocab : add tokenizer support for jina-embeddings-v2-base-zh (#18756)

* vocab : add jina-embeddings-v2-base-zh (whitespace tokenizer)

* lowercase defaults to true

* type fix

---------

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
This commit is contained in:
o7si
2026-05-31 12:37:35 +02:00
committed by GitHub
co-authored by Sigbjørn Skjæret
parent 3292da09f6
commit d4c8e2c29c
9 changed files with 106 additions and 4 deletions
+10
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@@ -1692,6 +1692,16 @@ class TextModel(ModelBase):
special_vocab = gguf.SpecialVocab(self.dir_model, load_merges=True)
special_vocab.add_to_gguf(self.gguf_writer)
def _set_vocab_whitespace(self) -> None:
tokens, toktypes, _ = self.get_vocab_base()
self.gguf_writer.add_tokenizer_model("whitespace")
self.gguf_writer.add_tokenizer_pre("whitespace") # pinned, not hash-detected: chktxt hash collides with jina-v1-en
self.gguf_writer.add_token_list(tokens)
self.gguf_writer.add_token_types(toktypes)
special_vocab = gguf.SpecialVocab(self.dir_model, load_merges=True)
special_vocab.add_to_gguf(self.gguf_writer)
def _set_vocab_hybriddna(self):
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained(self.dir_model, trust_remote_code=True)
+10 -1
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@@ -571,7 +571,16 @@ class JinaBertV2Model(BertModel):
if tokenizer_class == 'BertTokenizer':
super().set_vocab()
elif tokenizer_class == 'RobertaTokenizer':
self._set_vocab_gpt2()
pre_tokenizer_type = None
tokenizer_json_path = self.dir_model / "tokenizer.json"
if tokenizer_json_path.is_file():
with open(tokenizer_json_path, "r", encoding="utf-8") as f:
pre_tokenizer_type = json.load(f).get("pre_tokenizer", {}).get("type")
if pre_tokenizer_type == "Whitespace":
self._set_vocab_whitespace()
else:
self._set_vocab_gpt2()
self.gguf_writer.add_token_type_count(2)
else:
raise NotImplementedError(f'Tokenizer {tokenizer_class} is not supported for JinaBertModel')