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:
- 494b54d79125216272fecfcf736dc453fe84f32e32250d7283dc46bdb0f514c6
- Size of remote file:
- 997 MB
- SHA256:
- 61fae529836705567644118b09f9966479a0a067dd564171dffcbbd1d60f0624
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