Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use cssupport/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cssupport/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cssupport/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cssupport/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("cssupport/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c16143f0bc571e48bd738a1f0e421595ab4a646ec20f0549716535e5dc0a162f
- Size of remote file:
- 431 MB
- SHA256:
- cf41509a8fbf05aad7c3ac9fd588db6fab458e69e5bb8009146f52baaf08fd5a
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