Text Classification
Transformers
PyTorch
Safetensors
English
deberta
Trained with AutoTrain
social
offensive speech detection
moderation
Instructions to use KoalaAI/HateSpeechDetector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoalaAI/HateSpeechDetector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KoalaAI/HateSpeechDetector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KoalaAI/HateSpeechDetector") model = AutoModelForSequenceClassification.from_pretrained("KoalaAI/HateSpeechDetector") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_bos_token": false, | |
| "add_prefix_space": false, | |
| "bos_token": { | |
| "__type": "AddedToken", | |
| "content": "[CLS]", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": { | |
| "__type": "AddedToken", | |
| "content": "[CLS]", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "do_lower_case": false, | |
| "eos_token": { | |
| "__type": "AddedToken", | |
| "content": "[SEP]", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "errors": "replace", | |
| "mask_token": { | |
| "__type": "AddedToken", | |
| "content": "[MASK]", | |
| "lstrip": true, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "model_max_length": 512, | |
| "pad_token": { | |
| "__type": "AddedToken", | |
| "content": "[PAD]", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "sep_token": { | |
| "__type": "AddedToken", | |
| "content": "[SEP]", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "tokenizer_class": "DebertaTokenizer", | |
| "unk_token": { | |
| "__type": "AddedToken", | |
| "content": "[UNK]", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "vocab_type": "gpt2" | |
| } | |