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", device_map="auto")
