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")