Text Classification
Transformers
TensorBoard
Safetensors
PyTorch
bert
finance
financial-news
topic-classification
financial
news
Eval Results (legacy)
text-embeddings-inference
Instructions to use leonas5555/finnews-topic-single-classify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leonas5555/finnews-topic-single-classify with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leonas5555/finnews-topic-single-classify")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leonas5555/finnews-topic-single-classify") model = AutoModelForSequenceClassification.from_pretrained("leonas5555/finnews-topic-single-classify", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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