How to use from the
Use from the
Transformers library
# 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="moutons/CAT-Translate-3.3b-mlx-5Bit")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("moutons/CAT-Translate-3.3b-mlx-5Bit")
model = AutoModelForCausalLM.from_pretrained("moutons/CAT-Translate-3.3b-mlx-5Bit")
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moutons/CAT-Translate-3.3b-mlx-5Bit

The Model moutons/CAT-Translate-3.3b-mlx-5Bit was converted to MLX format from cyberagent/CAT-Translate-3.3b using mlx-lm version 0.31.2.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("moutons/CAT-Translate-3.3b-mlx-5Bit")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
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U32
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MLX
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