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
File size: 1,739 Bytes
80dfc29 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 | {
"_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
}
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