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
| { | |
| "bos_token": { | |
| "content": "<|begin_of_text|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|im_end|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|pad|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |