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 pytorch_model.bin from ptaszynski/bert-base-polish-cyberbullying: direct link, hf CLI and curl.
- Browser
- Download file 529 MB
-
https://huggingface.co/ptaszynski/bert-base-polish-cyberbullying/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ptaszynski/bert-base-polish-cyberbullying/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/ptaszynski/bert-base-polish-cyberbullying/resolve/main/pytorch_model.bin
529 MB
- Xet hash:
- 260645f4134176a8029122c5f80a5320e8deceb09e585b89e26d8a6b22bb9fb0
- Size of remote file:
- 529 MB
- SHA256:
- acdad794f81c5fbd6c7f8d087a09c5bdcf237b801815b656767c491f3e669500
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