Text Classification
Transformers
Safetensors
xlm-roberta
ner
on-device
privacy
flowx
openner
cross
de-identification
text-embeddings-inference
Instructions to use flowxai/privacyfilter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flowxai/privacyfilter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="flowxai/privacyfilter")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("flowxai/privacyfilter") model = AutoModelForSequenceClassification.from_pretrained("flowxai/privacyfilter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "test_loss": 1.3209909411671106e-05, | |
| "test_accuracy": 1.0, | |
| "test_macro_f1": 1.0, | |
| "test_f1": 1.0, | |
| "test_runtime": 2.0996, | |
| "test_samples_per_second": 1905.092, | |
| "test_steps_per_second": 59.534, | |
| "epoch": 3.0 | |
| } |