Token Classification
Transformers
TensorBoard
Safetensors
PyTorch
English
bert
BertForTokenClassification
bert-tiny
Generated from Trainer
named-entity-recognition
Instructions to use arnabdhar/bert-tiny-privacy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arnabdhar/bert-tiny-privacy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="arnabdhar/bert-tiny-privacy")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("arnabdhar/bert-tiny-privacy") model = AutoModelForTokenClassification.from_pretrained("arnabdhar/bert-tiny-privacy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac004ab488f80295b115890d8d966c03943081a764d789d7ae26abc95aa39947
- Size of remote file:
- 4.73 kB
- SHA256:
- d8527e2a9d91876e83de5c50d587215e135a646595405f24d62a011982f0513d
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