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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from bardsai/finance-sentiment-pl-base: direct link, hf CLI and curl.
- Browser
- Download file 498 MB
-
https://huggingface.co/bardsai/finance-sentiment-pl-base/resolve/main/model.safetensors
- Command line
-
hf download hf://bardsai/finance-sentiment-pl-base/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/bardsai/finance-sentiment-pl-base/resolve/main/model.safetensors
498 MB
- Xet hash:
- bb288165448ff8469beae1f660c087ee8e1b7288c960b0fdd6d43f483c89c540
- Size of remote file:
- 498 MB
- SHA256:
- 1ea8627bbfbbc03477f8f1b77f91adef27a6146341d924cf081b1817a8de70bd
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