Instructions to use ibm-granite/granite-vision-3.3-2b-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-granite/granite-vision-3.3-2b-embedding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ibm-granite/granite-vision-3.3-2b-embedding", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ibm-granite/granite-vision-3.3-2b-embedding", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
#8
by abedaniels - opened
No description provided.
Initial model card review -- please update model architecture section
Adirazgold changed pull request status to merged