Instructions to use HagalazAI/BlueSecureBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HagalazAI/BlueSecureBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HagalazAI/BlueSecureBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HagalazAI/BlueSecureBERT") model = AutoModelForSequenceClassification.from_pretrained("HagalazAI/BlueSecureBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27e775e27c8b719ae04ed7d963f257d11cf965821b9e820bfe6951c297282bbc
- Size of remote file:
- 5.5 kB
- SHA256:
- e0a880bc2113f1c59c5c8811e0cfbdcc1f299ce53865365dda540b7b7d0db8df
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