takala/financial_phrasebank
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How to use cometrain/moexT5 with Transformers:
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("cometrain/moexT5")
model = AutoModelForSeq2SeqLM.from_pretrained("cometrain/moexT5")The stocks-news-t5 model was further trained based on Moscow Exchange data obtained with AlgoPack(https://www.moex.com/ru/algopack)
This model has been automatically fine-tuned and tested as part of the development of the GPT-2-based AutoML framework for accelerated and easy development of NLP enterprise solutions. Fine-tuned T5 allows to analyze financial market news. Automatically trained on Financial Sentiment Analysis(2022) dataset.
This model was automatically fine-tuned using the Cometrain AlphaML framework and tested with CI/CD pipeline made by Cometrain AutoCode
$ cometrain create --name stocks-news --model auto --task 'Machine learning model for finance news analysis' --output transformers