Instructions to use SAP/password-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SAP/password-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SAP/password-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SAP/password-model") model = AutoModelForSequenceClassification.from_pretrained("SAP/password-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53320d348a2f4262eb2a0afc8556ffba3a27435ef4c4acbd0c0a3049a34d5495
- Size of remote file:
- 499 MB
- SHA256:
- 8a30c781315f7351c8d680ec41695dfd940a6d2491a56fc3512378e7934865f8
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