Instructions to use sileod/deberta-v3-base-tasksource-toxicity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sileod/deberta-v3-base-tasksource-toxicity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sileod/deberta-v3-base-tasksource-toxicity")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sileod/deberta-v3-base-tasksource-toxicity") model = AutoModelForSequenceClassification.from_pretrained("sileod/deberta-v3-base-tasksource-toxicity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86b3b15d492311f9ada4b06f1939d601d9e781c431333738b9aab7e5c31adcc4
- Size of remote file:
- 738 MB
- SHA256:
- 666dff2d62bda764e8f5224bdff6a5c5372d065b42e6555cd4d1f1400a55d44c
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