z

How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-to-audio", model="Amirjab21/z")
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForTextToWaveform

processor = AutoProcessor.from_pretrained("Amirjab21/z")
model = AutoModelForTextToWaveform.from_pretrained("Amirjab21/z", device_map="auto")
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Uploaded finetuned model

  • Developed by: Amirjab21
  • License: apache-2.0
  • Finetuned from model : unsloth/csm-1b

This csm model was trained 2x faster with Unsloth and Huggingface's TRL library.

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Model size
2B params
Tensor type
F16
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