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spanberta-base-cased

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

pipe = pipeline("feature-extraction", model="skimai/spanberta-base-cased")

# Load model directly
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("skimai/spanberta-base-cased")
model = AutoModel.from_pretrained("skimai/spanberta-base-cased")