Transformers How to use HydraLM/bge-large-classifier-32 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="HydraLM/bge-large-classifier-32") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("HydraLM/bge-large-classifier-32")
model = AutoModelForSequenceClassification.from_pretrained("HydraLM/bge-large-classifier-32")