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:
- d2b2bd76349bbb8050dfeba8c2d662d47a1b319933371512d6a51cc6906f08d7
- Size of remote file:
- 3.96 kB
- SHA256:
- 068b100b345f12921554b22c0214c604b0703b18c4632d7d6385f6f8f6ef567d
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