Lm-format-enforcer

- Performannce improvement: Limited-length JSON strings will also enjoy caching. Thanks [Jarno Elonen](https://github.com/elonen) for the contribution!

- Performance improvement: Introduced `TokenEnforcerTokenizerData` that allows reusing the tokenizer preprocessing data between different `TokenEnforcer` instances. The sample notebooks have been updated to take advantage of this option.
- Performance improvement: Long sequences will see up to 5x `TokenEnforcer` runtime footprint reduction.

- Bug fixes

- vLLM performance improvements
- Sample notebooks don't require huggingface account anymore

- Added [ExLlamaV2 integration](https://github.com/noamgat/lm-format-enforcer/blob/main/samples/colab_exllamav2_integration.ipynb)

- JSON Schema: Added support for union types. In pydantic, both `key: int | str` and `key: Union[int, str]` formats are supported
- JSON Schema: Added support for schemaless JSON mode. `JsonSchemaParser(None)` will now create a parser that accepts any valid JSON.