Instructions to use Intel/toxic-prompt-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/toxic-prompt-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Intel/toxic-prompt-roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Intel/toxic-prompt-roberta") model = AutoModelForSequenceClassification.from_pretrained("Intel/toxic-prompt-roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 246 Bytes
7a02b2d | 1 2 3 4 5 6 7 8 9 10 11 | {
"autocast_bf16_ops": null,
"autocast_fp32_ops": null,
"optimum_version": "1.21.2",
"transformers_version": "4.40.2",
"use_dynamic_shapes": false,
"use_fused_adam": true,
"use_fused_clip_norm": true,
"use_torch_autocast": true
}
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