I’m trying to create tokenizer with my own dataset/vocabulary using Sentencepiece and then use it with AlbertTokenizer transformers.
I followed really closely the tutorial on how to train a model from scratch: https://colab.research.google.com/github/huggingface/blog/blob/master/notebooks/01_how_to_train.ipynb#scrollTo=hO5M3vrAhcuj 7
    # import relevant libraries   
    from pathlib import Path
    from tokenizers import SentencePieceBPETokenizer
    from tokenizers.implementations import SentencePieceBPETokenizer
    from tokenizers.processors import BertProcessing
    from transformers import AlbertTokenizer
    

    paths = [str(x) for x in Path("./data").glob("**/*.txt")]
    
    # Initialize a tokenizer
    tokenizer = SentencePieceBPETokenizer(add_prefix_space=True)
    
    # Customize training
    tokenizer.train(files=paths, 
                    vocab_size=32000, 
                    min_frequency=2, 
                    show_progress=True,
                    special_tokens=['<unk>'],)

    # Saving model
    tokenizer.save_model("Sent-AlBERT")

    tokenizer = SentencePieceBPETokenizer(
        "./Sent-AlBERT/vocab.json",
        "./Sent-AlBERT/merges.txt",)

    tokenizer.enable_truncation(max_length=512)

Everything is fine up until this point when I tried to re-create the tokenizer in transformers
    # Re-create our tokenizer in transformers
        tokenizer = AlbertTokenizer.from_pretrained("./Sent-AlBERT", do_lower_case=True)

This is the error message I kept receiving:
OSError: Model name './Sent-AlBERT' was not found in tokenizers model name list (albert-base-v1, albert-large-v1, albert-xlarge-v1, albert-xxlarge-v1, albert-base-v2, albert-large-v2, albert-xlarge-v2, albert-xxlarge-v2). We assumed './Sent-AlBERT' was a path, a model identifier, or url to a directory containing vocabulary files named ['spiece.model'] but couldn't find such vocabulary files at this path or url.

For some reason, it works with RobertaTokenizerFast but not with AlbertTokenzier.
If anyone could give me a suggestion or any sort of direction on how to use Sentencepiece with AlberTokenizer I would really appreciate it.
P.S: I also tried to use ByteLevelBPETokenizer with DistilBertTokenizer, but it couldn’t recognize the tokenizer in the transformer either. I’m not sure what I am missing here.