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
| { | |
| "add_prefix_space": null, | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|im_end|>", | |
| "is_local": true, | |
| "legacy": true, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<|padding|>", | |
| "sep_token": "<|im_start|>", | |
| "sp_model_kwargs": {}, | |
| "spaces_between_special_tokens": false, | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": "<unk>", | |
| "use_default_system_prompt": false | |
| } | |