Text Classification
Transformers
PyTorch
Japanese
bert
financial-sentiment-analysis
sentiment-analysis
Instructions to use bardsai/finance-sentiment-ja-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bardsai/finance-sentiment-ja-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bardsai/finance-sentiment-ja-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bardsai/finance-sentiment-ja-base") model = AutoModelForSequenceClassification.from_pretrained("bardsai/finance-sentiment-ja-base") - Notebooks
- Google Colab
- Kaggle
📋 Documentation Enhancement Suggestion
#3 opened 3 months ago
by
CroviaTrust
📋 Documentation Enhancement Suggestion
#2 opened 3 months ago
by
CroviaTrust
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot