Bencode92/tradepulse-finbert-importance Description Fine-tuned FinBERT model for financial importance analysis in TradePulse.
Model source
Source description
Sources
1 sourceSource excerpts
3 excerptslanguage: en license: apache-2.0 tags: finance sentiment-analysis finbert trading pipelinetag: text-classification
importancebase_reference.csv (1797 samples)python from transformers import AutoTokenizer, AutoModelForSequenceClassification import torch tokenizer = AutoTokenizer.from_pretrained("Bencode92/tradepulse-finbert-importance") model = AutoModelForSequenceClassification.from_pretrained("Bencode92/tradepulse-finbert-importance") # Example prediction text = "Apple reported strong quarterly earnings beating expectations" inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True) outputs = model(**inputs) predictions = outputs.logits.softmax(dim=-1) Bencode92/tradepulse-finbert-importance Description Fine-tuned FinBERT model for financial importance analysis in TradePulse.
Bencode92/tradepulse-finbert-importance