Instructions to use ptaszynski/bert-base-polish-cyberbullying with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ptaszynski/bert-base-polish-cyberbullying with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ptaszynski/bert-base-polish-cyberbullying")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ptaszynski/bert-base-polish-cyberbullying") model = AutoModelForSequenceClassification.from_pretrained("ptaszynski/bert-base-polish-cyberbullying", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ptaszynski/bert-base-polish-cyberbullying: direct link, hf CLI and curl.
- Browser
- Download file 2.61 kB
-
https://huggingface.co/ptaszynski/bert-base-polish-cyberbullying/resolve/main/training_args.bin
- Command line
-
hf download hf://ptaszynski/bert-base-polish-cyberbullying/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/ptaszynski/bert-base-polish-cyberbullying/resolve/main/training_args.bin
2.61 kB
- Xet hash:
- 8524f150243ba080fb08dba8a9d8b31d9f3d46a6f8d2be335f10e1d076b543f1
- Size of remote file:
- 2.61 kB
- SHA256:
- cb95876e31e17f0d8a493efc392a7cafafa6ad57bc9d8c4bcbcc0944a17b7816
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