Token Classification
Transformers
Safetensors
German
English
xlm-roberta
pii
privacy
named-entity-recognition
Instructions to use TSchachi/pii-token-classifier-de-en-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TSchachi/pii-token-classifier-de-en-code with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="TSchachi/pii-token-classifier-de-en-code")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("TSchachi/pii-token-classifier-de-en-code") model = AutoModelForTokenClassification.from_pretrained("TSchachi/pii-token-classifier-de-en-code", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from TSchachi/pii-token-classifier-de-en-code: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/TSchachi/pii-token-classifier-de-en-code/resolve/main/tokenizer.json
- Command line
-
hf download hf://TSchachi/pii-token-classifier-de-en-code/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/TSchachi/pii-token-classifier-de-en-code/resolve/main/tokenizer.json
16.8 MB
- Xet hash:
- 3b1ba183d64c8c90a4d3ec00327e791b50e32cfb3f438c379267b31a92e9212c
- Size of remote file:
- 16.8 MB
- SHA256:
- 9aa6cb9642061cf6d0a38a953b46b51d283a146d2b32edd791c2c0af45999418
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