Instructions to use mskov/roberta-base-toxicity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mskov/roberta-base-toxicity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mskov/roberta-base-toxicity")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mskov/roberta-base-toxicity") model = AutoModelForSequenceClassification.from_pretrained("mskov/roberta-base-toxicity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:3a7019833b5d8bf857cb8ba422c18b8fbbbf416774227a44172f7a1d7bba5352
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size 498612824
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