Instructions to use heegyu/gpt2-toxic-sequence-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heegyu/gpt2-toxic-sequence-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="heegyu/gpt2-toxic-sequence-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("heegyu/gpt2-toxic-sequence-classification") model = AutoModelForSequenceClassification.from_pretrained("heegyu/gpt2-toxic-sequence-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from heegyu/gpt2-toxic-sequence-classification: direct link, hf CLI and curl.
- Browser
- Download file 510 MB
-
https://huggingface.co/heegyu/gpt2-toxic-sequence-classification/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://heegyu/gpt2-toxic-sequence-classification/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/heegyu/gpt2-toxic-sequence-classification/resolve/main/pytorch_model.bin
510 MB
- Xet hash:
- f4bc68e7f85b6d1252efa2730a43b1ff2dead503322986b754f61d7f4e013e88
- Size of remote file:
- 510 MB
- SHA256:
- 214e3f454f3c4e7ba1d20944c836aba57ae16a164aa42ebb16c8e8a52833857e
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