Token Classification
Transformers
ONNX
Safetensors
English
Hindi
lfm2
pii
privacy
hinglish
devanagari
int8
custom_code
Instructions to use erayyapagci/lfm2.5-pii-en-hi-hinglish-q8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use erayyapagci/lfm2.5-pii-en-hi-hinglish-q8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="erayyapagci/lfm2.5-pii-en-hi-hinglish-q8", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("erayyapagci/lfm2.5-pii-en-hi-hinglish-q8", trust_remote_code=True) model = AutoModelForTokenClassification.from_pretrained("erayyapagci/lfm2.5-pii-en-hi-hinglish-q8", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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