Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use DunnBC22/codebert-base-Password_Strength_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/codebert-base-Password_Strength_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DunnBC22/codebert-base-Password_Strength_Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DunnBC22/codebert-base-Password_Strength_Classifier") model = AutoModelForSequenceClassification.from_pretrained("DunnBC22/codebert-base-Password_Strength_Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9587539735e9ead06eb42b0a0463d86df75849dde4b7d39bbf0de54fdaf05390
- Size of remote file:
- 6.15 kB
- SHA256:
- 781677e046f4c582c46faa0f3440e2e4fe6246a33c6d4eb800a1466818c71801
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