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:
- 54cc7583d0a14fad7c717f79a0efa8326d08953d9c5302b7a3dc514ffa92b4ba
- Size of remote file:
- 997 MB
- SHA256:
- 2c05df94321022303086794957bc01d2e212db00b0536724efb3e4e5dd2a455d
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