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model_path = ""

model = BertForSequenceClassification.from_pretrained(model_path)

tokenizer= BertTokenizerFast.from_pretrained(model_path)

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

nlp("text")

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Safetensors
Model size
163M params
Tensor type
F32
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