Instructions to use johnpaulbin/beanbox-toxic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use johnpaulbin/beanbox-toxic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="johnpaulbin/beanbox-toxic")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("johnpaulbin/beanbox-toxic") model = AutoModel.from_pretrained("johnpaulbin/beanbox-toxic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from johnpaulbin/beanbox-toxic: direct link, hf CLI and curl.
- Browser
- Download file 90.9 MB
-
https://huggingface.co/johnpaulbin/beanbox-toxic/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://johnpaulbin/beanbox-toxic@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/johnpaulbin/beanbox-toxic/resolve/refs%2Fpr%2F1/pytorch_model.bin
90.9 MB
- Xet hash:
- c8ebb0ca3c02a2cd1bf9587a3fca94edcf7dae6c6adf72cd161c3dec6e3e04f0
- Size of remote file:
- 90.9 MB
- SHA256:
- 931b14a8a3cdcee825672cd634668e71ae2c298208066ccd6fa84c1142625d9b
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