Token Classification
Transformers
Safetensors
lfm2
liquid
lfm2.5
bidirectional
masked-lm
encoder
pii
ner
privacy
multilingual
custom_code
Instructions to use LiquidAI/LFM2.5-Encoder-350M-PII-Detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LiquidAI/LFM2.5-Encoder-350M-PII-Detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="LiquidAI/LFM2.5-Encoder-350M-PII-Detector", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("LiquidAI/LFM2.5-Encoder-350M-PII-Detector", trust_remote_code=True) model = AutoModelForTokenClassification.from_pretrained("LiquidAI/LFM2.5-Encoder-350M-PII-Detector", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download leaderboard_18lang.png from LiquidAI/LFM2.5-Encoder-350M-PII-Detector: direct link, hf CLI and curl.
- Browser
- Download file 174 kB
-
https://huggingface.co/LiquidAI/LFM2.5-Encoder-350M-PII-Detector/resolve/main/leaderboard_18lang.png
- Command line
-
hf download hf://LiquidAI/LFM2.5-Encoder-350M-PII-Detector/leaderboard_18lang.png
-
curl -L -o leaderboard_18lang.png https://huggingface.co/LiquidAI/LFM2.5-Encoder-350M-PII-Detector/resolve/main/leaderboard_18lang.png
174 kB

- Xet hash:
- 93e0c95a51ff75e02a68ade055b132daf797959f0cf21984d0b811b93d28fd5b
- Size of remote file:
- 174 kB
- SHA256:
- e07a7e7a92156948ab7fa700a6aab58385588712f8559b92d8e0414c5a81bbd8
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