Instructions to use ehsanaghaei/SecureBERT_Plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ehsanaghaei/SecureBERT_Plus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ehsanaghaei/SecureBERT_Plus")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ehsanaghaei/SecureBERT_Plus") model = AutoModelForMaskedLM.from_pretrained("ehsanaghaei/SecureBERT_Plus") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce465edade0a5f8dcb6e78e44600cdae6765688e8809ceb74064a2caaef307ad
- Size of remote file:
- 998 MB
- SHA256:
- 34404e84fd4ed906452a5bdf61dc086cb6d084b27bc3d5611c1d3ac9afa16c5e
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