Instructions to use OpenGVLab/InternVL-14B-224px with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/InternVL-14B-224px with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="OpenGVLab/InternVL-14B-224px", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("OpenGVLab/InternVL-14B-224px", trust_remote_code=True) model = AutoModel.from_pretrained("OpenGVLab/InternVL-14B-224px", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d345a5fae02c2fa9580ecefc71f99f52a44bfc1e590c3c7aefe43ecaf2e44ec6
- Size of remote file:
- 758 kB
- SHA256:
- 2d967e855b1213a439df6c8ce2791f869c84b4f3b6cfacf22b86440b8192a2f8
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