Video-Text-to-Text
Transformers
Safetensors
MLX
English
molmo2
image-text-to-text
multimodal
olmo
molmo
custom_code
Instructions to use mlx-community/Molmo2-8B-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlx-community/Molmo2-8B-fp16 with Transformers:
# Load model directly from transformers import AutoModelForImageTextToText model = AutoModelForImageTextToText.from_pretrained("mlx-community/Molmo2-8B-fp16", trust_remote_code=True, device_map="auto") - MLX
How to use mlx-community/Molmo2-8B-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Molmo2-8B-fp16 mlx-community/Molmo2-8B-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 635 Bytes
4834694 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | {
"image_processor": {
"do_convert_rgb": true,
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "Molmo2ImageProcessor",
"image_std": [
0.5,
0.5,
0.5
],
"max_crops": 8,
"overlap_margins": [
4,
4
],
"patch_size": 14,
"pooling_size": [
2,
2
],
"processor_class": "Molmo2Processor",
"resample": 2,
"size": {
"height": 378,
"width": 378
}
},
"image_use_col_tokens": true,
"processor_class": "Molmo2Processor",
"use_single_crop_col_tokens": null,
"use_single_crop_start_token": true
}
|