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:
- 9260813099c667a026cce127a846dcb251ce7f9134e17a6a14e6ce6c604b3a6b
- Size of remote file:
- 7.76 GB
- SHA256:
- d03c3fec7174e3543f0be009f8ab4765fcd7f1837bf74ec16976c40297aa2e63
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