Translation
Transformers
Safetensors
MLX
hunyuan_v1_dense
text-generation
mlx-my-repo
4-bit precision
Instructions to use windht/HY-MT1.5-1.8B-mlx-4Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use windht/HY-MT1.5-1.8B-mlx-4Bit 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="windht/HY-MT1.5-1.8B-mlx-4Bit")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("windht/HY-MT1.5-1.8B-mlx-4Bit") model = AutoModelForCausalLM.from_pretrained("windht/HY-MT1.5-1.8B-mlx-4Bit") - MLX
How to use windht/HY-MT1.5-1.8B-mlx-4Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir HY-MT1.5-1.8B-mlx-4Bit windht/HY-MT1.5-1.8B-mlx-4Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
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