Instructions to use RhapsodyAI/qwen_vl_guidance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RhapsodyAI/qwen_vl_guidance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="RhapsodyAI/qwen_vl_guidance", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("RhapsodyAI/qwen_vl_guidance", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0a6ea20334e8e160f1f2f0fbffb32982cb8d66daacc91912c3d8bc72a323a01
- Size of remote file:
- 5.63 kB
- SHA256:
- 678761506756c34596533ad2e0503290b74810bb90637ec93a42aef26e93c1f3
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