Text Classification
Transformers
Safetensors
Sinhala
English
xlm-roberta
token-classification
text-embeddings-inference
Instructions to use Ramosh99/Sinhala_codemix_pii_detection_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ramosh99/Sinhala_codemix_pii_detection_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ramosh99/Sinhala_codemix_pii_detection_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Ramosh99/Sinhala_codemix_pii_detection_model") model = AutoModelForTokenClassification.from_pretrained("Ramosh99/Sinhala_codemix_pii_detection_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Ramosh99/Sinhala_codemix_pii_detection_model: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/Ramosh99/Sinhala_codemix_pii_detection_model/resolve/main/tokenizer.json
- Command line
-
hf download hf://Ramosh99/Sinhala_codemix_pii_detection_model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Ramosh99/Sinhala_codemix_pii_detection_model/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 225257d321afc4310eaa385dcde0200f73167a55fa970ecc618c8009bd008161
- Size of remote file:
- 17.1 MB
- SHA256:
- d1065c14bf5f3d26a369bb348eae791e137f4b69cc85f846cc14bde0e6c49aca
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