How to use m-i/HY-MT1.5-7B-mlx-8Bit 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-8Bit")
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("m-i/HY-MT1.5-7B-mlx-8Bit") model = AutoModelForCausalLM.from_pretrained("m-i/HY-MT1.5-7B-mlx-8Bit")
How to use m-i/HY-MT1.5-7B-mlx-8Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir HY-MT1.5-7B-mlx-8Bit m-i/HY-MT1.5-7B-mlx-8Bit
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