Text Classification
Transformers
Safetensors
PyTorch
bert
hate-speech-detection
privhsd
glimo
text-embeddings-inference
Instructions to use batinium/glimo-dehatebert-hsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use batinium/glimo-dehatebert-hsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="batinium/glimo-dehatebert-hsd")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("batinium/glimo-dehatebert-hsd") model = AutoModelForSequenceClassification.from_pretrained("batinium/glimo-dehatebert-hsd") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_cross_attention": false, | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": null, | |
| "classifier_dropout": null, | |
| "directionality": "bidi", | |
| "dtype": "float32", | |
| "eos_token_id": null, | |
| "eos_token_ids": null, | |
| "finetuning_task": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.3, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "non_hate", | |
| "1": "hate" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "is_decoder": false, | |
| "label2id": { | |
| "hate": 1, | |
| "non_hate": 0 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "output_past": true, | |
| "pad_token_id": null, | |
| "pooler_fc_size": 768, | |
| "pooler_num_attention_heads": 12, | |
| "pooler_num_fc_layers": 3, | |
| "pooler_size_per_head": 128, | |
| "pooler_type": "first_token_transform", | |
| "problem_type": "single_label_classification", | |
| "pruned_heads": {}, | |
| "tie_word_embeddings": true, | |
| "torchscript": false, | |
| "transformers_version": "5.1.0", | |
| "type_vocab_size": 2, | |
| "use_bfloat16": false, | |
| "use_cache": true, | |
| "vocab_size": 105879 | |
| } | |