Instructions to use mmmaurer/roberta-base-hateeval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use mmmaurer/roberta-base-hateeval with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("mmmaurer/roberta-base-hateeval", set_active=True) - Notebooks
- Google Colab
- Kaggle
File size: 445 Bytes
fb7fbc9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"config": {
"activation_function": "tanh",
"bias": true,
"dropout_prob": null,
"head_type": "classification",
"label2id": {
"hatespeech": 1,
"not hatespeech": 0
},
"layers": 2,
"num_labels": 2,
"use_pooler": false
},
"hidden_size": 768,
"model_class": "RobertaAdapterModel",
"model_name": "roberta-base",
"model_type": "roberta",
"name": "hateeval",
"version": "adapters.1.2.0"
} |