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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("morit/toxic_8") model = AutoModelForSequenceClassification.from_pretrained("morit/toxic_8") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#8
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:19a1ad37d742652a7741e6e990158a6f3c261a3072e16b0af11364a31cb91351
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size 1343006732
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