Text Classification
Transformers
PyTorch
Safetensors
Polish
bert
financial-sentiment-analysis
sentiment-analysis
herbert
Eval Results (legacy)
text-embeddings-inference
Instructions to use bardsai/finance-sentiment-pl-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bardsai/finance-sentiment-pl-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bardsai/finance-sentiment-pl-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bardsai/finance-sentiment-pl-base") model = AutoModelForSequenceClassification.from_pretrained("bardsai/finance-sentiment-pl-base") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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oid sha256:1ea8627bbfbbc03477f8f1b77f91adef27a6146341d924cf081b1817a8de70bd
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size 497808496
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