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:
- 305340f6cc6f5577748cf1e97bf0d4e669a87808f5b34ebf923208beeab30444
- Size of remote file:
- 9.98 GB
- SHA256:
- e83b1754a4c3449848ecb7cb00ffddd80e34f2fd5cf8c4a7edea473ea9a7aac4
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