Text Classification
Transformers
Safetensors
English
roberta
data-classification
sensitivity
data-governance
Synthetic
text-embeddings-inference
Instructions to use aitrainingdatabroker/document-sensitivity-tier-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aitrainingdatabroker/document-sensitivity-tier-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aitrainingdatabroker/document-sensitivity-tier-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aitrainingdatabroker/document-sensitivity-tier-classifier") model = AutoModelForSequenceClassification.from_pretrained("aitrainingdatabroker/document-sensitivity-tier-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download scores.json from aitrainingdatabroker/document-sensitivity-tier-classifier: direct link, hf CLI and curl.
- Browser
- Download file 504 Bytes
-
https://huggingface.co/aitrainingdatabroker/document-sensitivity-tier-classifier/resolve/main/scores.json
- Command line
-
hf download hf://aitrainingdatabroker/document-sensitivity-tier-classifier/scores.json
-
curl -L -o scores.json https://huggingface.co/aitrainingdatabroker/document-sensitivity-tier-classifier/resolve/main/scores.json
504 Bytes
| { | |
| "metric": "accuracy and macro F1", | |
| "accuracy": 0.831, | |
| "macro_f1": 0.823, | |
| "per_label": { | |
| "confidential": { | |
| "f1": 0.857, | |
| "support": 19 | |
| }, | |
| "internal": { | |
| "f1": 0.816, | |
| "support": 20 | |
| }, | |
| "public": { | |
| "f1": 0.974, | |
| "support": 20 | |
| }, | |
| "restricted": { | |
| "f1": 0.645, | |
| "support": 18 | |
| } | |
| }, | |
| "base_model": "distilroberta-base", | |
| "train_rows": 305, | |
| "test_rows": 77, | |
| "epochs": 6, | |
| "device": "cuda" | |
| } | |