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") - Notebooks
- Google Colab
- Kaggle
Upload optimizer (1).pt
Browse files- optimizer (1).pt +3 -0
optimizer (1).pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:c76f35ab91ee3215c32d0b2f8d7f68ea41681bdea3753f0c5508a7b36c268152
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