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:
- 191deb4c2b736e83d4c108a658ddfc33edffa29b2852fd7e25be9fd9997c73a3
- Size of remote file:
- 3.58 kB
- SHA256:
- 74b745e759c8f13f62716e511053a7e363eadb2883e53ff6b5b2f0ad59ce3d37
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