Text Generation
Transformers
Safetensors
PEFT
llama
protein
ptm
adp-ribosylation
lora
text-generation-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("jbenbudd/adpr-llama")
model = AutoModelForCausalLM.from_pretrained("jbenbudd/adpr-llama")Quick Links
ADPr-LLaMA
LoRA-fine-tuned GreatCaptainNemo/ProLLaMA_Stage_1 for predicting ADP-ribosylation (ADPr) PTM sites from 21-residue peptide windows. Output format: Sites=<R5,D12,...>.
This is a training-only stub card. Final metrics (ROC, accuracy, precision, recall, F1, confusion matrix) are filled in by the companion evaluation notebook after running on the held-out test set.
- Downloads last month
- 10
Model tree for jbenbudd/adpr-llama
Base model
GreatCaptainNemo/ProLLaMA_Stage_1
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="jbenbudd/adpr-llama")