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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4362d6d593272c98c4c861bf4bc7f7a18959b1c4110a7511faf106c14405d74
- Size of remote file:
- 499 MB
- SHA256:
- 4bde84d20a445792ba3a143328eb646557707ffd76c8af96089c3e55bcf92b44
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