Instructions to use EZCon/SmolVLM2-2.2B-Instruct-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use EZCon/SmolVLM2-2.2B-Instruct-mlx with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("EZCon/SmolVLM2-2.2B-Instruct-mlx") config = load_config("EZCon/SmolVLM2-2.2B-Instruct-mlx") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer_config.json from EZCon/SmolVLM2-2.2B-Instruct-mlx: direct link, hf CLI and curl.
- Browser
- Download file 848 Bytes
-
https://huggingface.co/EZCon/SmolVLM2-2.2B-Instruct-mlx/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://EZCon/SmolVLM2-2.2B-Instruct-mlx/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/EZCon/SmolVLM2-2.2B-Instruct-mlx/resolve/main/tokenizer_config.json
848 Bytes
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": "<|im_start|>", | |
| "clean_up_tokenization_spaces": false, | |
| "end_of_utterance_token": "<end_of_utterance>", | |
| "eos_token": "<end_of_utterance>", | |
| "fake_image_token": "<fake_token_around_image>", | |
| "global_image_token": "<global-img>", | |
| "image_token": "<image>", | |
| "is_local": true, | |
| "legacy": false, | |
| "local_files_only": false, | |
| "model_max_length": 16384, | |
| "model_specific_special_tokens": { | |
| "end_of_utterance_token": "<end_of_utterance>", | |
| "fake_image_token": "<fake_token_around_image>", | |
| "global_image_token": "<global-img>", | |
| "image_token": "<image>" | |
| }, | |
| "pad_token": "<|im_end|>", | |
| "processor_class": "SmolVLMProcessor", | |
| "tokenizer_class": "TokenizersBackend", | |
| "truncation_side": "left", | |
| "unk_token": "<|endoftext|>", | |
| "vocab_size": 49152 | |
| } | |