Token Classification
Transformers
Safetensors
English
distilbert
document-understanding
procurement
india
gem
synthetic-data
Instructions to use HarshilDaGoat/gem-certificate-extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HarshilDaGoat/gem-certificate-extractor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HarshilDaGoat/gem-certificate-extractor")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HarshilDaGoat/gem-certificate-extractor") model = AutoModelForTokenClassification.from_pretrained("HarshilDaGoat/gem-certificate-extractor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,510 Bytes
3550cc6 | 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 | {
"model": {
"overall_accuracy": 0.9999,
"overall_false_positive_rate": 0.0,
"per_field": {
"gstin": {
"accuracy": 1.0,
"false_positive_rate": 0.0,
"support": 1174
},
"pan": {
"accuracy": 1.0,
"false_positive_rate": 0.0,
"support": 593
},
"udyam_number": {
"accuracy": 1.0,
"false_positive_rate": 0.0,
"support": 902
},
"cin": {
"accuracy": 1.0,
"false_positive_rate": 0.0,
"support": 124
},
"establishment_code": {
"accuracy": 1.0,
"false_positive_rate": 0.0,
"support": 311
},
"dpiit_number": {
"accuracy": 1.0,
"false_positive_rate": 0.0,
"support": 312
},
"trade_name": {
"accuracy": 1.0,
"false_positive_rate": 0.0,
"support": 296
},
"legal_name": {
"accuracy": 1.0,
"false_positive_rate": null,
"support": 3000
},
"activity": {
"accuracy": 1.0,
"false_positive_rate": 0.0,
"support": 902
},
"enterprise_category": {
"accuracy": 1.0,
"false_positive_rate": 0.0,
"support": 901
},
"local_content_pct": {
"accuracy": 0.9966,
"false_positive_rate": 0.0,
"support": 296
},
"valid_until": {
"accuracy": 1.0,
"false_positive_rate": 0.0,
"support": 784
}
}
}
} |