pip install transformers from transformers import automodelforcausallm, autotokenizer import torch torch_device = "cuda" if torch.cuda.is_available() else "cpu" model_name="mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis" tokenizer = autotokenizer.from_pretrained(model_name) model=automodelforcausallm.from_pretrained(model_name,pad_token_id=tokenizer.eos_token_id).to(torch_device) model_inputs=tokenizer('Nvidia reported profits of €10Mio',return_tensors='pt').to(torch_device) output = model(**inputs).logits.argmax(axis=1)
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