Translation
Transformers
Safetensors
MLX
Japanese
English
mistral
text-generation
machine-translation
japanese
english
mlx-my-repo
text-generation-inference
4-bit precision
Instructions to use moutons/CAT-Translate-7b-mlx-4Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moutons/CAT-Translate-7b-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="moutons/CAT-Translate-7b-mlx-4Bit")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("moutons/CAT-Translate-7b-mlx-4Bit") model = AutoModelForCausalLM.from_pretrained("moutons/CAT-Translate-7b-mlx-4Bit") - MLX
How to use moutons/CAT-Translate-7b-mlx-4Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir CAT-Translate-7b-mlx-4Bit moutons/CAT-Translate-7b-mlx-4Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| license: mit | |
| language: | |
| - ja | |
| - en | |
| pipeline_tag: translation | |
| library_name: transformers | |
| tags: | |
| - translation | |
| - machine-translation | |
| - japanese | |
| - english | |
| - mlx | |
| - mlx-my-repo | |
| base_model: cyberagent/CAT-Translate-7b | |
| # moutons/CAT-Translate-7b-mlx-4Bit | |
| The Model [moutons/CAT-Translate-7b-mlx-4Bit](https://huggingface.co/moutons/CAT-Translate-7b-mlx-4Bit) was converted to MLX format from [cyberagent/CAT-Translate-7b](https://huggingface.co/cyberagent/CAT-Translate-7b) using mlx-lm version **0.31.2**. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("moutons/CAT-Translate-7b-mlx-4Bit") | |
| 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) | |
| ``` | |