Isma

/

test_8000

like 0

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

pipe = pipeline("feature-extraction", model="Isma/test_8000")

# Load model directly
from transformers import AutoProcessor, AutoModel

processor = AutoProcessor.from_pretrained("Isma/test_8000")
model = AutoModel.from_pretrained("Isma/test_8000")