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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21912563a3eb5808079b3193e8c8fc6e2e16507e537abbb75202ef2145f48dfb
- Size of remote file:
- 17.5 MB
- SHA256:
- 88cf99905279acc6cdc65716cafb97a2d35a2b761132a78a78c94646e40726e7
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