Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use JohnLei/bert-large-20-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JohnLei/bert-large-20-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="JohnLei/bert-large-20-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("JohnLei/bert-large-20-ner") model = AutoModelForTokenClassification.from_pretrained("JohnLei/bert-large-20-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from JohnLei/bert-large-20-ner: direct link, hf CLI and curl.
- Browser
- Download file 1.33 GB
-
https://huggingface.co/JohnLei/bert-large-20-ner/resolve/main/model.safetensors
- Command line
-
hf download hf://JohnLei/bert-large-20-ner/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/JohnLei/bert-large-20-ner/resolve/main/model.safetensors
1.33 GB
- Xet hash:
- a98c1c0d27ab5233075a8bc17f67754f09e998662f4228d15591c4d68a39a831
- Size of remote file:
- 1.33 GB
- SHA256:
- 4eea2cde82272d03ccd765afcb3c988c9dabe9f7ce7005728242e1a1a3f1208d
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