Depth Estimation
Transformers
Safetensors
qwen3_vl
image-text-to-text
vision-language-model
3d-vision
multimodal
qwen3-vl
Instructions to use JonnyYu828/DepthVLM-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JonnyYu828/DepthVLM-4B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="JonnyYu828/DepthVLM-4B")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("JonnyYu828/DepthVLM-4B") model = AutoModelForImageTextToText.from_pretrained("JonnyYu828/DepthVLM-4B") - Notebooks
- Google Colab
- Kaggle
File size: 227 Bytes
79408ae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"do_sample": true,
"eos_token_id": [
151645,
151645,
151643
],
"pad_token_id": 151643,
"repetition_penalty": 1.0,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8,
"transformers_version": "5.2.0"
}
|