from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline

tokenizer = AutoTokenizer.from_pretrained("MMG/xlm-roberta-base-sa-spanish")

model = AutoModelForSequenceClassification.from_pretrained("MMG/xlm-roberta-base-sa-spanish")

pipe = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)

pipe(["Este bar es horrible", "Este bar es buenísimo"]))

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Safetensors

Model size

278M params

Tensor type

I64

F32

Inference Examples

Text Classification

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