Text Classification
Transformers
PyTorch
TensorFlow
English
financial-sentiment-analysis
sentiment-analysis
Instructions to use yiyanghkust/finbert-tone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yiyanghkust/finbert-tone with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yiyanghkust/finbert-tone")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("yiyanghkust/finbert-tone", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Where can I find Analyst Reports Dataset?
#12
by temetnosce01 - opened
Hi,
It is mentioned that you finetuned the model on 10,000 manually annotated (positive, negative, neutral) sentences from analyst reports. You also used same dataset for performance metrics and comparison in your paper.
Where can I find this mentioned Analyst reports dataset? I couldn't find reference link in your paper about it.
Thanks for help in advance,
Yigit