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
Update config.json
Browse files- config.json +2 -2
config.json
CHANGED
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@@ -19,8 +19,8 @@
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0":
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"1":
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "not-hate",
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"1": "hate"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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