GENERanno
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How to use GenerTeam/GENERanno-eukaryote-1.2b-cds-annotator-preview with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("token-classification", model="GenerTeam/GENERanno-eukaryote-1.2b-cds-annotator-preview", trust_remote_code=True) # Load model directly
from transformers import AutoModelForTokenClassification
model = AutoModelForTokenClassification.from_pretrained("GenerTeam/GENERanno-eukaryote-1.2b-cds-annotator-preview", trust_remote_code=True, dtype="auto")In this repository, we present GENERanno-eukaryote-cds-annotator. Through comprehensive evaluations, GENERanno-cds-annotator achieves superior accuracy compared to traditional HMM-based methods (e.g., Augustus, Helixer, and recent LLM-based approaches (e.g., SegmentNT). More technical details are coming soon...
Python scripts for end-to-end genome annotation is avaliable on GitHub: GenerTeam