Text Classification
Transformers
PyTorch
Safetensors
Polish
bert
sentiment-analysis
twitter
polish
herbert
Eval Results (legacy)
text-embeddings-inference
Instructions to use bardsai/twitter-sentiment-pl-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bardsai/twitter-sentiment-pl-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bardsai/twitter-sentiment-pl-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bardsai/twitter-sentiment-pl-base") model = AutoModelForSequenceClassification.from_pretrained("bardsai/twitter-sentiment-pl-base") - Notebooks
- Google Colab
- Kaggle
Missing licensing file
#2
by Fufciak - opened
Hello,
Please include a licensing file on your model, because according to the license of the model that you based this on, you need to leave an attribution.
https://choosealicense.com/licenses/cc-by-4.0/
Thanks.
Hi Filip, thank you for pointing this out, we will add it!
License added 😀