Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use deval/bert-base-NER-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deval/bert-base-NER-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="deval/bert-base-NER-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("deval/bert-base-NER-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("deval/bert-base-NER-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2509163fce73e5f8723ec494b08ff2a9eba203ee9dc985ad429b56be6dacee20
- Size of remote file:
- 2.67 kB
- SHA256:
- b36ed4b35aca4f4debe952db2dd62007956b1f300f95f0855a78c3b1589ea148
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