Instructions to use im21/category-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use im21/category-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="im21/category-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("im21/category-classifier") model = AutoModelForSequenceClassification.from_pretrained("im21/category-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "ModernBertForSequenceClassification" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": null, | |
| "classifier_activation": "gelu", | |
| "classifier_bias": false, | |
| "classifier_dropout": 0.0, | |
| "classifier_pooling": "mean", | |
| "cls_token_id": 50281, | |
| "decoder_bias": true, | |
| "deterministic_flash_attn": false, | |
| "dtype": "float32", | |
| "embedding_dropout": 0.0, | |
| "eos_token_id": null, | |
| "global_attn_every_n_layers": 3, | |
| "gradient_checkpointing": false, | |
| "hidden_activation": "gelu", | |
| "hidden_size": 1024, | |
| "id2label": { | |
| "0": "Security & Error Pages", | |
| "1": "Site Functions & Legal", | |
| "2": "Ecommerce, Fashion & Retail", | |
| "3": "Education", | |
| "4": "Financial Services", | |
| "5": "Business & Professional Services", | |
| "6": "Technology & Software", | |
| "7": "Gaming & Sports", | |
| "8": "News & Weather", | |
| "9": "Health & Wellness", | |
| "10": "Entertainment & Media", | |
| "11": "Lifestyle & Hobbies", | |
| "12": "Communication & Support", | |
| "13": "Dating & Relationships", | |
| "14": "Gambling & Lottery", | |
| "15": "Automotive & Transportation", | |
| "16": "Travel, Tourism & Leisure", | |
| "17": "Adult Content", | |
| "18": "Home & Construction", | |
| "19": "Food & Dining", | |
| "20": "Government & Public Services", | |
| "21": "Community, Religion & Nonprofit", | |
| "22": "Agriculture & Farming", | |
| "23": "Energy & Utilities", | |
| "24": "Industrial & Manufacturing", | |
| "25": "Beauty & Personal Care", | |
| "26": "Other" | |
| }, | |
| "initializer_cutoff_factor": 2.0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 2624, | |
| "label2id": { | |
| "Adult Content": 17, | |
| "Agriculture & Farming": 22, | |
| "Automotive & Transportation": 15, | |
| "Beauty & Personal Care": 25, | |
| "Business & Professional Services": 5, | |
| "Communication & Support": 12, | |
| "Community, Religion & Nonprofit": 21, | |
| "Dating & Relationships": 13, | |
| "Ecommerce, Fashion & Retail": 2, | |
| "Education": 3, | |
| "Energy & Utilities": 23, | |
| "Entertainment & Media": 10, | |
| "Financial Services": 4, | |
| "Food & Dining": 19, | |
| "Gambling & Lottery": 14, | |
| "Gaming & Sports": 7, | |
| "Government & Public Services": 20, | |
| "Health & Wellness": 9, | |
| "Home & Construction": 18, | |
| "Industrial & Manufacturing": 24, | |
| "Lifestyle & Hobbies": 11, | |
| "News & Weather": 8, | |
| "Other": 26, | |
| "Security & Error Pages": 0, | |
| "Site Functions & Legal": 1, | |
| "Technology & Software": 6, | |
| "Travel, Tourism & Leisure": 16 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "layer_types": [ | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention" | |
| ], | |
| "local_attention": 128, | |
| "max_position_embeddings": 8192, | |
| "mlp_bias": false, | |
| "mlp_dropout": 0.0, | |
| "model_type": "modernbert", | |
| "norm_bias": false, | |
| "norm_eps": 1e-05, | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 28, | |
| "pad_token_id": 50283, | |
| "position_embedding_type": "absolute", | |
| "problem_type": "multi_label_classification", | |
| "rope_parameters": { | |
| "full_attention": { | |
| "rope_theta": 160000.0, | |
| "rope_type": "default" | |
| }, | |
| "sliding_attention": { | |
| "rope_theta": 10000.0, | |
| "rope_type": "default" | |
| } | |
| }, | |
| "sep_token_id": 50282, | |
| "sparse_pred_ignore_index": -100, | |
| "sparse_prediction": false, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.15.1", | |
| "vocab_size": 50368 | |
| } | |