Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use JohnLei/bert-large-5-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JohnLei/bert-large-5-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="JohnLei/bert-large-5-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("JohnLei/bert-large-5-ner") model = AutoModelForTokenClassification.from_pretrained("JohnLei/bert-large-5-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from JohnLei/bert-large-5-ner: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/JohnLei/bert-large-5-ner/resolve/6338a291f583b690675ceeab40dc1f47d00472e1/training_args.bin
- Command line
-
hf download hf://JohnLei/bert-large-5-ner@6338a291f583b690675ceeab40dc1f47d00472e1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/JohnLei/bert-large-5-ner/resolve/6338a291f583b690675ceeab40dc1f47d00472e1/training_args.bin
5.3 kB
- Xet hash:
- a1859b6b7e7e0e57215695e4e2a1a35fd589ccb733aedc21c18756433dc0ad12
- Size of remote file:
- 5.3 kB
- SHA256:
- e3ab3c4e02a52354ec27dbe93b16054e00aefe890ae67ebe5a3c0d5b3d73176a
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