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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d854e625c2bdc76d2c22661ae85e9aa7e547bf93c147f2a6ad78f3a922cbcce
- Size of remote file:
- 14.6 kB
- SHA256:
- c7378a1b25350e46b4dd05499622c59b0365783af867d4261f9305060d7e3ace
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