Robotics
Transformers
Safetensors
English
prts_qwen3_vl
feature-extraction
vision-language-action
vla
contrastive-reinforcement-learning
goal-conditioned-rl
qwen3-vl
prts
custom_code
Instructions to use TeleEmbodied/PRTS-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TeleEmbodied/PRTS-4B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TeleEmbodied/PRTS-4B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 879 Bytes
4f07533 | 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 38 39 40 41 42 43 | {
"auto_map": {
"AutoProcessor": "processing_prts_qwen3_vl.PRTS_Qwen3VLProcessor"
},
"crop_size": null,
"data_format": "channels_first",
"default_to_square": true,
"device": null,
"disable_grouping": null,
"do_center_crop": null,
"do_convert_rgb": true,
"do_normalize": true,
"do_pad": null,
"do_rescale": true,
"do_resize": true,
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "Qwen2VLImageProcessorFast",
"image_std": [
0.5,
0.5,
0.5
],
"input_data_format": null,
"max_pixels": 147456,
"merge_size": 2,
"min_pixels": 65536,
"pad_size": null,
"patch_size": 16,
"processor_class": "PRTS_Qwen3VLProcessor",
"resample": 3,
"rescale_factor": 0.00392156862745098,
"return_tensors": null,
"size": {
"longest_edge": 147456,
"shortest_edge": 65536
},
"temporal_patch_size": 2
}
|