Transformers How to use seqSight/seqsight_esm_4096_512_55M_plasmid_2026_V3_New_data with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="seqSight/seqsight_esm_4096_512_55M_plasmid_2026_V3_New_data", trust_remote_code=True) # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("seqSight/seqsight_esm_4096_512_55M_plasmid_2026_V3_New_data", trust_remote_code=True)
model = AutoModelForSequenceClassification.from_pretrained("seqSight/seqsight_esm_4096_512_55M_plasmid_2026_V3_New_data", trust_remote_code=True, device_map="auto") 
