Instructions to use mrmoor/cti-bert-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrmoor/cti-bert-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mrmoor/cti-bert-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mrmoor/cti-bert-ner") model = AutoModelForTokenClassification.from_pretrained("mrmoor/cti-bert-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aef5f9e325a63d5b9066393051d775ba354ee973e74788f22ea581e39fb813fc
- Size of remote file:
- 436 MB
- SHA256:
- 036d7722f0252aac3774f6483a59f769767a0409a49f5d1b24e57daf6bf7bd03
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