Text Classification
Transformers
Safetensors
Sinhala
English
xlm-roberta
token-classification
text-embeddings-inference
Instructions to use Ramosh99/mixcode_pii_detector_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ramosh99/mixcode_pii_detector_v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ramosh99/mixcode_pii_detector_v3")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Ramosh99/mixcode_pii_detector_v3") model = AutoModelForTokenClassification.from_pretrained("Ramosh99/mixcode_pii_detector_v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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