Text Classification
Transformers
Safetensors
English
distilbert
sdg
sustainable-development-goals
policy
text-embeddings-inference
Instructions to use Aakash1005/sdg-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aakash1005/sdg-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Aakash1005/sdg-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Aakash1005/sdg-classifier") model = AutoModelForSequenceClassification.from_pretrained("Aakash1005/sdg-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,273 Bytes
59b49d8 | 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 | {
"activation": "gelu",
"architectures": [
"DistilBertForSequenceClassification"
],
"attention_dropout": 0.1,
"bos_token_id": null,
"dim": 768,
"dropout": 0.1,
"dtype": "float32",
"eos_token_id": null,
"hidden_dim": 3072,
"id2label": {
"0": "SDG 1",
"1": "SDG 2",
"2": "SDG 3",
"3": "SDG 4",
"4": "SDG 5",
"5": "SDG 6",
"6": "SDG 7",
"7": "SDG 8",
"8": "SDG 9",
"9": "SDG 10",
"10": "SDG 11",
"11": "SDG 12",
"12": "SDG 13",
"13": "SDG 14",
"14": "SDG 15",
"15": "SDG 16"
},
"initializer_range": 0.02,
"label2id": {
"SDG 1": 0,
"SDG 10": 9,
"SDG 11": 10,
"SDG 12": 11,
"SDG 13": 12,
"SDG 14": 13,
"SDG 15": 14,
"SDG 16": 15,
"SDG 2": 1,
"SDG 3": 2,
"SDG 4": 3,
"SDG 5": 4,
"SDG 6": 5,
"SDG 7": 6,
"SDG 8": 7,
"SDG 9": 8
},
"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,
"tie_word_embeddings": true,
"transformers_version": "5.0.0",
"use_cache": false,
"vocab_size": 30522
}
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