Feature Extraction
Transformers
Safetensors
MiniMax H3
qwen3_vl_stitched_h3
qwen3-vl
vision-language
image-to-video
custom-code
experimental
custom_code
Instructions to use valarauca1/qwen3-vl-25m-stitched-8bL16-to-32bL29 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valarauca1/qwen3-vl-25m-stitched-8bL16-to-32bL29 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="valarauca1/qwen3-vl-25m-stitched-8bL16-to-32bL29", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("valarauca1/qwen3-vl-25m-stitched-8bL16-to-32bL29", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
How did you pick layers 16 and 29?
4
#1 opened 12 days ago
by
NicoLab28