tokenizer.json

{
    "module": "keras_nlp.src.models.gemma.gemma_tokenizer",
    "class_name": "GemmaTokenizer",
    "config": {
        "name": "gemma_tokenizer",
        "trainable": true,
        "dtype": "int32",
        "proto": null,
        "sequence_length": null
    },
    "registered_name": "keras_nlp>GemmaTokenizer",
    "assets": [
        "assets/tokenizer/vocabulary.spm"
    ],
    "weights": "weights/fined-tuned-model.lora.h5" 
}