Instructions to use Vasanth/bert-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vasanth/bert-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Vasanth/bert-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Vasanth/bert-ner") model = AutoModelForTokenClassification.from_pretrained("Vasanth/bert-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb95aa84b07ceeadf91a20f3276e0badb0c6f42ed5137ca5970b324ad50da97a
- Size of remote file:
- 436 MB
- SHA256:
- 1b087d152dc4a7c161cfceef6b8372ae7b91975c9b81d0627863335d47c9feda
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