Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use drdspace/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use drdspace/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="drdspace/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("drdspace/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("drdspace/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e156bf21b6792ef7a7b88d5333459f6380b097c88f158f0c906e1ef453287ead
- Size of remote file:
- 3.96 kB
- SHA256:
- b4b92248a56b6d48a45b2ed0010e87e44a94402f065f3e045fe5bae5527c4463
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