Transformers How to use seanmor5/tiny-random-GemmaForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="seanmor5/tiny-random-GemmaForSequenceClassification") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("seanmor5/tiny-random-GemmaForSequenceClassification")
model = AutoModelForSequenceClassification.from_pretrained("seanmor5/tiny-random-GemmaForSequenceClassification", device_map="auto") 
