Instructions to use mlx-community/3b-zh-pretrain-research_release-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlx-community/3b-zh-pretrain-research_release-bf16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="mlx-community/3b-zh-pretrain-research_release-bf16")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("mlx-community/3b-zh-pretrain-research_release-bf16") model = AutoModelForCausalLM.from_pretrained("mlx-community/3b-zh-pretrain-research_release-bf16") - MLX
How to use mlx-community/3b-zh-pretrain-research_release-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir 3b-zh-pretrain-research_release-bf16 mlx-community/3b-zh-pretrain-research_release-bf16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 72c94d26d1755ec8b7a9f9e84a797070cdd0a6c394fe5379aa6a9013a9642f80
- Size of remote file:
- 22.8 MB
- SHA256:
- fc3fecb199b4170636dbfab986d25f628157268d37b861f9cadaca60b1353bce
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