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StephanAkkerman
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FinTwitBERT-wsb-sentiment

Text Classification
Transformers
Safetensors
English
bert
finance
reddit
wallstreetbets
sentiment-analysis
NLP
BERT
FinBERT
FinTwitBERT
sentiment
financial-analysis
financial-sentiment-analysis
stocks
stock-market
crypto
cryptocurrency
text-embeddings-inference
Model card Files
xet
 Community
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="StephanAkkerman/FinTwitBERT-wsb-sentiment")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("StephanAkkerman/FinTwitBERT-wsb-sentiment")
model = AutoModelForSequenceClassification.from_pretrained("StephanAkkerman/FinTwitBERT-wsb-sentiment")
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Model Description

This model is a fine-tuned version of FinTwitBERT-sentiment, specifically adapted to understand the informal financial jargon, slang, and sarcasm used on retail trading subreddits like r/wallstreetbets.

Labels

  • 0: NEUTRAL
  • 1: BULLISH
  • 2: BEARISH
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