Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use Kriyans/Bert-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kriyans/Bert-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Kriyans/Bert-NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Kriyans/Bert-NER") model = AutoModelForTokenClassification.from_pretrained("Kriyans/Bert-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Kriyans/Bert-NER: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/Kriyans/Bert-NER/resolve/refs%2Fpr%2F2/training_args.bin
- Command line
-
hf download hf://Kriyans/Bert-NER@refs/pr/2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Kriyans/Bert-NER/resolve/refs%2Fpr%2F2/training_args.bin
4.03 kB
- Xet hash:
- 977956d59789abd5ed7014bb1277e9d4b4d1d7a310fcef6af77fa662a40ec30c
- Size of remote file:
- 4.03 kB
- SHA256:
- c62f44bb08df5aafe0896a3b974622cc60dd8a65cb9a3ee1bd2a0339fd7b11de
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