Instructions to use VSPuzzler/InnocentClassificationModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VSPuzzler/InnocentClassificationModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VSPuzzler/InnocentClassificationModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VSPuzzler/InnocentClassificationModel") model = AutoModelForSequenceClassification.from_pretrained("VSPuzzler/InnocentClassificationModel") - Notebooks
- Google Colab
- Kaggle
File size: 447 Bytes
6e44877 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"additional_special_tokens": [
{
"content": "[TARGET]",
"lstrip": false,
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"rstrip": false,
"single_word": false
},
{
"content": "[/TARGET]",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
}
],
"cls_token": "[CLS]",
"mask_token": "[MASK]",
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"unk_token": "[UNK]"
}
|