Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use JohnLei/bert-large-200-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JohnLei/bert-large-200-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="JohnLei/bert-large-200-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("JohnLei/bert-large-200-ner") model = AutoModelForTokenClassification.from_pretrained("JohnLei/bert-large-200-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from JohnLei/bert-large-200-ner: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/JohnLei/bert-large-200-ner/resolve/477efdf24bd9e16e7d1825112e295c0e5ab0b4ef/tokenizer.json
- Command line
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hf download hf://JohnLei/bert-large-200-ner@477efdf24bd9e16e7d1825112e295c0e5ab0b4ef/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/JohnLei/bert-large-200-ner/resolve/477efdf24bd9e16e7d1825112e295c0e5ab0b4ef/tokenizer.json
669 kB
File too large to display, you can check the raw version instead.