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@@ -42,9 +42,7 @@ The model is designed for autoregressive music generation. It generates the cont
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  ## How to Get Started with the Model
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  Use the code below to get started with the model.
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- You will need the `miditok`, `transformers` and `torch` packages to make it run, that can be installed with pip.
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-
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- You will also need to manually download the `tokenizer.conf` file from the [repo files](https://huggingface.co/Natooz/Maestro-REMI-bpe20k/tree/main).
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  ```Python
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  import torch
@@ -54,7 +52,7 @@ from miditoolkit import MidiFile
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  torch.set_default_device("cuda")
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  model = AutoModelForCausalLM.from_pretrained("Natooz/Maestro-REMI-bpe20k", trust_remote_code=True, torch_dtype="auto")
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- tokenizer = REMI(params="tokenizer.conf")
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  input_midi = MidiFile("path/to/file.mid")
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  input_tokens = tokenizer(input_midi)
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  ## How to Get Started with the Model
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  Use the code below to get started with the model.
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+ You will need the `miditok` (>=v2.1.7), `transformers` and `torch` packages to make it run, that can be installed with pip.
 
 
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  ```Python
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  import torch
 
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  torch.set_default_device("cuda")
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  model = AutoModelForCausalLM.from_pretrained("Natooz/Maestro-REMI-bpe20k", trust_remote_code=True, torch_dtype="auto")
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+ tokenizer = REMI.from_pretrained("Natooz/Maestro-REMI-bpe20k")
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  input_midi = MidiFile("path/to/file.mid")
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  input_tokens = tokenizer(input_midi)
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