Instructions to use m-i/HY-MT1.5-7B-mlx-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m-i/HY-MT1.5-7B-mlx-fp16 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="m-i/HY-MT1.5-7B-mlx-fp16")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("m-i/HY-MT1.5-7B-mlx-fp16") model = AutoModelForMultimodalLM.from_pretrained("m-i/HY-MT1.5-7B-mlx-fp16") - MLX
How to use m-i/HY-MT1.5-7B-mlx-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir HY-MT1.5-7B-mlx-fp16 m-i/HY-MT1.5-7B-mlx-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
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