Text Classification
Transformers
PyTorch
Safetensors
Polish
roberta
feature-extraction
text-embeddings-inference
Instructions to use hplisiecki/word2affect_polish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hplisiecki/word2affect_polish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hplisiecki/word2affect_polish")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hplisiecki/word2affect_polish") model = AutoModel.from_pretrained("hplisiecki/word2affect_polish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9886e4c2958048b4d6cad62bc1ff1de1db5d55e4fdd1a7bce3f428ef3824070a
- Size of remote file:
- 517 MB
- SHA256:
- 4e0c41d7390dfc0f4b0f142d2261260d5cd0c3b501b639dba124268815cfef95
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