seanmor5

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tiny-random-GemmaForSequenceClassification

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# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="seanmor5/tiny-random-GemmaForSequenceClassification")

# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("seanmor5/tiny-random-GemmaForSequenceClassification")
model = AutoModelForSequenceClassification.from_pretrained("seanmor5/tiny-random-GemmaForSequenceClassification")