Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use DavidCollier/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DavidCollier/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DavidCollier/bert-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DavidCollier/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("DavidCollier/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from DavidCollier/bert-finetuned-ner: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/DavidCollier/bert-finetuned-ner/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://DavidCollier/bert-finetuned-ner@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/DavidCollier/bert-finetuned-ner/resolve/refs%2Fpr%2F1/tokenizer.json
669 kB
File too large to display, you can check the raw version instead.