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 eval_curve.png from poolside-laguna-hackathon/protein-ligand-design: direct link, hf CLI and curl.
- Browser
- Download file 133 kB
-
https://huggingface.co/poolside-laguna-hackathon/protein-ligand-design/resolve/main/eval_curve.png
- Command line
-
hf download hf://poolside-laguna-hackathon/protein-ligand-design/eval_curve.png
-
curl -L -o eval_curve.png https://huggingface.co/poolside-laguna-hackathon/protein-ligand-design/resolve/main/eval_curve.png
133 kB

- Xet hash:
- 1ae863e87ccbd95c6584aeaf3f002621c6baec1724e4db6153585814279af25c
- Size of remote file:
- 133 kB
- SHA256:
- 18027e1b325465d08f267291b09543e1b83de4c2d03b8009c681eae74fa0d32f
·
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