Text Classification
Transformers
PyTorch
English
bert
sentiment-analysis
finance
Eval Results (legacy)
text-embeddings-inference
Instructions to use Kroalist/financial-sentiment-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kroalist/financial-sentiment-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kroalist/financial-sentiment-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Kroalist/financial-sentiment-bert") model = AutoModelForSequenceClassification.from_pretrained("Kroalist/financial-sentiment-bert") - Notebooks
- Google Colab
- Kaggle
Ctrl+K