utyug1/sentiment_dataset
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How to use utyug1/finbert-finetuned-model with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="utyug1/finbert-finetuned-model") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("utyug1/finbert-finetuned-model")
model = AutoModelForSequenceClassification.from_pretrained("utyug1/finbert-finetuned-model")This is a model which was for test purpose fine-tuned from ProsusAI/finbert on utyug1/sentiment_dataset.
from transformers import pipeline
sentiment_pipeline = pipeline(
"text-classification",
model="utyug1/finbert-finetuned-model",
return_all_scores=True
)
print(sentiment_pipeline("Markets rallied on positive earnings."))
Base model
ProsusAI/finbert