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metadata
library_name: transformers
tags:
  - trl
  - sft

Model Card

Base Gemma 2B model Finetuned on twitter-financial-news-sentiment dataset

  • Developed by: Maradona Morais
  • License: Apache 2
  • Finetuned from model: google/gemma-2b

Uses

Tweet: $ALLY - Ally Financial pulls outlook https://t.co/G9Zdi1boy5
Sentiment: [Bullish | Bearish | Neutral]
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("maradona/gemma-2b-twitter-financial-news-sentiment")
model = AutoModelForCausalLM.from_pretrained("maradona/gemma-2b-twitter-financial-news-sentiment")