Feature Extraction
PEFT
Safetensors
Transformers
proteins
molecules
bioinformatics
drug-discovery
lora
Instructions to use SaeedLab/BindScreen-lora-LIT_PCBA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SaeedLab/BindScreen-lora-LIT_PCBA with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("facebook/esm2_t36_3B_UR50D") model = PeftModel.from_pretrained(base_model, "SaeedLab/BindScreen-lora-LIT_PCBA") - Transformers
How to use SaeedLab/BindScreen-lora-LIT_PCBA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SaeedLab/BindScreen-lora-LIT_PCBA")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SaeedLab/BindScreen-lora-LIT_PCBA", device_map="auto") - Notebooks
- Google Colab
- Kaggle