feat: add changes to handle jina v2 chinese code

[JoanFM]

Adds the changes to handle Chinese model from Jina AI.

Changes description:

• Add a preprocessing vocab to handle the Lowercase + Whitespace preprocessing of Jina-v2-ZH.
• Soften some exceptions to validate from the vocab (This will be the most polemical change in the PR).

Why those changes?

• NULL is in the vocab (Not sure why):

    "vocab": {
      "<s>": 0,
      "<pad>": 1,
      "</s>": 2,
      "<unk>": 3,
      "<mask>": 4,
      "\u0000": 5,
      "\u0001": 6,
      "\u0002": 7,

I think the relevant assertion is GGML_ASSERT(vocab.id_to_token.size() == vocab.token_to_id.size());, not sure it provides more value to have this extra restriction

• Newline not found in vocab (Ċ). This only affects linefeed_id that is not affecting inference at all.

[github-actions]

📈 llama.cpp server for bench-server-baseline on Standard_NC4as_T4_v3 for phi-2-q4_0: 541 iterations 🚀

Expand details for performance related PR only

• Concurrent users: 8, duration: 10m
• HTTP request : avg=8663.08ms p(95)=20014.98ms fails=, finish reason: stop=488 truncated=53
• Prompt processing (pp): avg=103.53tk/s p(95)=514.76tk/s
• Token generation (tg): avg=34.38tk/s p(95)=48.3tk/s
• ggml-org/models/phi-2/ggml-model-q4_0.gguf parallel=8 ctx-size=16384 ngl=33 batch-size=2048 ubatch-size=256 pp=1024 pp+tg=2048 branch=feat-jina-embeddings-v2-zh commit=728e1b4da0cbed99b817016115ec1a30f7281d61

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[arkohut]

Is this still working on? Jina models are great at rag scenario. And right now the models like cwchang/jina-embeddings-v2-base-zh in ollama will show errors without llama.cpp's support?