Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use Binaryy/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Binaryy/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Binaryy/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Binaryy/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Binaryy/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15de2a9fd2ac0c455fa6d4560f51dde4d40a75ce90ab2f6abb464bd7783e8217
- Size of remote file:
- 431 MB
- SHA256:
- 7b606d5e9cedf1af59a13bf7da86780d2788eac5c554afc2213e7a2a38617d2f
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