Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use torayeff/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use torayeff/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="torayeff/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("torayeff/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("torayeff/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cea8049ed43e52f7f3ee8e358d07c3ee0fe5b1b61362b61baa82ca57f03cb72e
- Size of remote file:
- 3.38 kB
- SHA256:
- e4aeb8b27976bf1c93f675aa6ab8fd3f11e15018dfec7d2f3d984f212c59cb29
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