Instructions to use HagalazAI/RedSecureBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HagalazAI/RedSecureBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HagalazAI/RedSecureBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HagalazAI/RedSecureBERT") model = AutoModelForSequenceClassification.from_pretrained("HagalazAI/RedSecureBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 074fc4d102981a6b9562a749cbf74126bf084215808ca072f56529352f14ba4d
- Size of remote file:
- 499 MB
- SHA256:
- 71172f6e2b5f78b654120da8b3b00a70dcd3697c4375cfee025ebf1f3cc0cf93
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