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:
- 2504c7e6b99de727c7d794317a931d8653b16a97992263db3a84674dbc84d3e9
- Size of remote file:
- 1.88 GB
- SHA256:
- 792258d84bacfef968f4f111b3845d76886c9ac3a1d77b07855ab46e35ae30fd
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