Instructions to use heegyu/gpt2-toxic-sequence-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heegyu/gpt2-toxic-sequence-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="heegyu/gpt2-toxic-sequence-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("heegyu/gpt2-toxic-sequence-classification") model = AutoModelForSequenceClassification.from_pretrained("heegyu/gpt2-toxic-sequence-classification") - Notebooks
- Google Colab
- Kaggle
File size: 255 Bytes
53a891f | 1 2 3 4 5 6 7 8 9 10 11 | {
"add_prefix_space": false,
"bos_token": "<|endoftext|>",
"eos_token": "<|endoftext|>",
"model_max_length": 1024,
"name_or_path": "gpt2",
"special_tokens_map_file": null,
"tokenizer_class": "GPT2Tokenizer",
"unk_token": "<|endoftext|>"
}
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