Instructions to use mdroth/bert-finetuned-ner-accelerate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mdroth/bert-finetuned-ner-accelerate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mdroth/bert-finetuned-ner-accelerate")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mdroth/bert-finetuned-ner-accelerate") model = AutoModelForTokenClassification.from_pretrained("mdroth/bert-finetuned-ner-accelerate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d074b47f34f68a31a1da922f8a537bf2cc4434607cbd86e7bb0293ebeb90f9d2
- Size of remote file:
- 431 MB
- SHA256:
- a588f5feba315abe7542271d27ddf8e51690c5b65d4f2c6eedd800dbf48f4328
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