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
Download science_gym_bio_sweep.png from poolside-laguna-hackathon/protein-ligand-design: direct link, hf CLI and curl.
- Browser
- Download file 199 kB
-
https://huggingface.co/poolside-laguna-hackathon/protein-ligand-design/resolve/main/science_gym_bio_sweep.png
- Command line
-
hf download hf://poolside-laguna-hackathon/protein-ligand-design/science_gym_bio_sweep.png
-
curl -L -o science_gym_bio_sweep.png https://huggingface.co/poolside-laguna-hackathon/protein-ligand-design/resolve/main/science_gym_bio_sweep.png
199 kB

- Xet hash:
- 7e94b49aa8e633184779d0e8248b3222e6d72337a539aad70e8661f2b186bedd
- Size of remote file:
- 199 kB
- SHA256:
- 3e1e3ded07e2182d01ed98b4babcf73995e0df0ca38e82df39a3ac3db9a47918
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