Text Generation
PEFT
Safetensors
English
lora
grpo
reinforcement-learning
biomedical
relation-extraction
drug-protein
Mixture of Experts
conversational
Instructions to use lokahq/Trinity-Mini-DrugProt-Think with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lokahq/Trinity-Mini-DrugProt-Think with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("arcee-ai/Trinity-Mini") model = PeftModel.from_pretrained(base_model, "lokahq/Trinity-Mini-DrugProt-Think") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 357f0c64f202bcecf31d32cd008a399a5e905a20df99780d7583fd90716cfdd7
- Size of remote file:
- 14.6 MB
- SHA256:
- 0058acf26a6e7228298b0c9fed2a87fcb3f6cb5f84752cfde101b9e68b380918
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