Transformers How to use mrm8488/embeddinggemma-2-ft-typed-decision with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="mrm8488/embeddinggemma-2-ft-typed-decision", trust_remote_code=True) # pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mrm8488/embeddinggemma-2-ft-typed-decision", trust_remote_code=True, device_map="auto") 
SaylorTwift 
multimodalart