ProsusAI/FinBert only one sentiment value via transformers library

I’m using this model via transformers library on a local machine. The model is only returning one sentiment word and one value. The hosted HF endpoint version here looks to return all three sentiments and values. Is this an intentional limitation or am I doing something wrong on my end?

from transformers import AutoTokenizer, TFAutoModelForSequenceClassification, pipeline
tokenizer = AutoTokenizer.from_pretrained("ProsusAI/finbert")
model = TFAutoModelForSequenceClassification.from_pretrained("ProsusAI/finbert")
sa_finbert = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)
headline = "Chicken Soup for the Soul Entertainment Launches Advertising Sales Platform Crackle Connex"
result = sa_finbert(headline)
print(result)
[{'label': 'negative', 'score': 0.42233529686927795}]