PlantHelixSeek
Collection
25 items • Updated
How to use zhangtaolab/PlantHelixSeek-CRE with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="zhangtaolab/PlantHelixSeek-CRE", trust_remote_code=True) # Load model directly
from transformers import AutoModelForSequenceClassification
model = AutoModelForSequenceClassification.from_pretrained("zhangtaolab/PlantHelixSeek-CRE", trust_remote_code=True, device_map="auto")Fine-tuned from PlantHelixSeek for cis-regulatory element (CRE) prediction — binary classification of open-chromatin / CRE regions.
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained(
"zhangtaolab/PlantHelixSeek-CRE", trust_remote_code=True
)
tokenizer = AutoTokenizer.from_pretrained(
"zhangtaolab/PlantHelixSeek-CRE", trust_remote_code=True
)
Full genome-wide CRE prediction + peak calling pipeline: see scripts/cis_regulatory/.
CC-BY-NC 4.0
Base model
zhangtaolab/PlantHelixSeek