Instructions to use timm/qwen3_vit_416m.qwen3_vl_30b_a3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use timm/qwen3_vit_416m.qwen3_vl_30b_a3b with timm:
import timm model = timm.create_model("hf_hub:timm/qwen3_vit_416m.qwen3_vl_30b_a3b", pretrained=True) - Transformers
How to use timm/qwen3_vit_416m.qwen3_vl_30b_a3b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="timm/qwen3_vit_416m.qwen3_vl_30b_a3b")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("timm/qwen3_vit_416m.qwen3_vl_30b_a3b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "source_repo": "Qwen/Qwen3-VL-30B-A3B-Instruct", | |
| "source_revision": "9c4b90e1e4ba969fd3b5378b57d966d725f1b86c", | |
| "source_filename": "model-00013-of-00013.safetensors", | |
| "license_source": "https://raw.githubusercontent.com/QwenLM/Qwen3-VL/96588727e44c78b25ba03ea03b8e12f7e64fd0da/LICENSE", | |
| "license_sha256": "c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4", | |
| "timm_version": "1.0.29", | |
| "torch_version": "2.9.1+cu130" | |
| } | |