Feature Extraction
Transformers
Safetensors
starling_transfer
molecular-property-prediction
oral-bioavailability
chemistry
custom_code
Instructions to use jiosephlee/starling-transfer-ssv2-srcval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jiosephlee/starling-transfer-ssv2-srcval with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jiosephlee/starling-transfer-ssv2-srcval", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jiosephlee/starling-transfer-ssv2-srcval", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle