Instructions to use morit/toxic_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use morit/toxic_8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="morit/toxic_8")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("morit/toxic_8") model = AutoModelForSequenceClassification.from_pretrained("morit/toxic_8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from morit/toxic_8: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/morit/toxic_8/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://morit/toxic_8/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/morit/toxic_8/resolve/main/pytorch_model.bin
1.34 GB
- Xet hash:
- 12f44af1bb9a3a093f1cd8032817c1d0db97518fac6956a7b512f57aeb8891cd
- Size of remote file:
- 1.34 GB
- SHA256:
- 3be35e234cb2ed6546266729dadb8aeec6e3a4a9945be3bc949f5d8b04bc49c8
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