Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use tinutmap/categor_ai_23_cats_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tinutmap/categor_ai_23_cats_train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tinutmap/categor_ai_23_cats_train")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tinutmap/categor_ai_23_cats_train") model = AutoModelForSequenceClassification.from_pretrained("tinutmap/categor_ai_23_cats_train", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "tinutmap/categor_ai_23_cats", | |
| "activation": "gelu", | |
| "architectures": [ | |
| "DistilBertForSequenceClassification" | |
| ], | |
| "attention_dropout": 0.1, | |
| "dim": 768, | |
| "dropout": 0.1, | |
| "hidden_dim": 3072, | |
| "id2label": { | |
| "0": "Accessories", | |
| "1": "Outdoor", | |
| "2": "Ergonomic", | |
| "3": "Storage", | |
| "4": "Tables", | |
| "5": "Acoustic", | |
| "6": "Architectural", | |
| "7": "Casegoods", | |
| "8": "Education", | |
| "9": "Seating", | |
| "10": "Senior Living", | |
| "11": "Space Defining", | |
| "12": "Presentation", | |
| "13": "Systems Furniture", | |
| "14": "Lighting", | |
| "15": "Privacy", | |
| "16": "Healthcare", | |
| "17": "Signage", | |
| "18": "Workplace Hygiene", | |
| "19": "Textiles", | |
| "20": "Childrens Furniture", | |
| "21": "Media Center-Library", | |
| "22": "Work Surfaces" | |
| }, | |
| "initializer_range": 0.02, | |
| "label2id": { | |
| "Accessories": 0, | |
| "Acoustic": 5, | |
| "Architectural": 6, | |
| "Casegoods": 7, | |
| "Childrens Furniture": 20, | |
| "Education": 8, | |
| "Ergonomic": 2, | |
| "Healthcare": 16, | |
| "Lighting": 14, | |
| "Media Center-Library": 21, | |
| "Outdoor": 1, | |
| "Presentation": 12, | |
| "Privacy": 15, | |
| "Seating": 9, | |
| "Senior Living": 10, | |
| "Signage": 17, | |
| "Space Defining": 11, | |
| "Storage": 3, | |
| "Systems Furniture": 13, | |
| "Tables": 4, | |
| "Textiles": 19, | |
| "Work Surfaces": 22, | |
| "Workplace Hygiene": 18 | |
| }, | |
| "max_position_embeddings": 512, | |
| "model_type": "distilbert", | |
| "n_heads": 12, | |
| "n_layers": 6, | |
| "pad_token_id": 0, | |
| "problem_type": "single_label_classification", | |
| "qa_dropout": 0.1, | |
| "seq_classif_dropout": 0.2, | |
| "sinusoidal_pos_embds": false, | |
| "tie_weights_": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.44.1", | |
| "vocab_size": 30522 | |
| } | |