Instructions to use vuminhtue/Bert_base_NER_PII with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vuminhtue/Bert_base_NER_PII with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vuminhtue/Bert_base_NER_PII")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vuminhtue/Bert_base_NER_PII") model = AutoModelForTokenClassification.from_pretrained("vuminhtue/Bert_base_NER_PII", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from vuminhtue/Bert_base_NER_PII: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/vuminhtue/Bert_base_NER_PII/resolve/0dd83494de4c261d6ee838bf28c91ccb670f34f2/tokenizer.json
- Command line
-
hf download hf://vuminhtue/Bert_base_NER_PII@0dd83494de4c261d6ee838bf28c91ccb670f34f2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/vuminhtue/Bert_base_NER_PII/resolve/0dd83494de4c261d6ee838bf28c91ccb670f34f2/tokenizer.json
711 kB
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