Instructions to use ehsanaghaei/SecureBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ehsanaghaei/SecureBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ehsanaghaei/SecureBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ehsanaghaei/SecureBERT") model = AutoModelForMaskedLM.from_pretrained("ehsanaghaei/SecureBERT", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4fd3bc216424e0cb2bc833a7f25de5ee912a128b6dfbfd5026407c2945581cd
- Size of remote file:
- 559 Bytes
- SHA256:
- eda9f986a7d497dd41bda1e5f2f0f94036d328cea477ca8aac5ec3a37e17282a
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