Text Generation
PEFT
Safetensors
lora
reinforcement-learning
grpo
tool-use
chemistry
biology
drug-discovery
prime-intellect
verifiers
Instructions to use poolside-laguna-hackathon/protein-ligand-design with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use poolside-laguna-hackathon/protein-ligand-design with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("poolside/Laguna-XS.2") model = PeftModel.from_pretrained(base_model, "poolside-laguna-hackathon/protein-ligand-design") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- ff31236474db803685a5db7e03e5760dd6b97d8187a8c0421b551b94f83ee82a
- Size of remote file:
- 1.38 MB
- SHA256:
- a0de7a9b3826f2c2c74603f60b330baf66a27e8d9b23c1a34c2fc0856a7735a3
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