Instructions to use OpenGVLab/InternViT-6B-448px-V1-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/InternViT-6B-448px-V1-0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="OpenGVLab/InternViT-6B-448px-V1-0", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenGVLab/InternViT-6B-448px-V1-0", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84d35862c3c1f4ea4fea653fe6b3584d3ba7428c323935a64531c558b66fd3f3
- Size of remote file:
- 9.93 GB
- SHA256:
- 15b8f0b9621d6a84e049b185f1e5c60f14297c3d7d09b63af42926262988980e
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