# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM
tokenizer = AutoTokenizer.from_pretrained("mlx-community/3b-zh-ft-research_release-bf16")
model = AutoModelForMultimodalLM.from_pretrained("mlx-community/3b-zh-ft-research_release-bf16")Quick Links
mlx-community/3b-zh-ft-research_release-bf16
This model was converted to MLX format from canopylabs/3b-zh-ft-research_release using mlx-vlm version 0.0.3.
Refer to the original model card for more details on the model.
Use with mlx
pip install -U mlx-audio
python -m mlx_audio.tts.generate --model mlx-community/3b-zh-ft-research_release-bf16 --text "Hello, world"
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Model tree for mlx-community/3b-zh-ft-research_release-bf16
Base model
meta-llama/Llama-3.2-3B-Instruct Finetuned
canopylabs/orpheus-3b-0.1-pretrained
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="mlx-community/3b-zh-ft-research_release-bf16")