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:
- 9b605bfa8bb8dcefe6f8feb4d15da79422ac240e2f84aa15eae2ec9973807acb
- Size of remote file:
- 557 Bytes
- SHA256:
- d068ce3942e842bce7dd7f75063b42f2849c8eea0b99f9a16893bc6a17e2abe1
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