Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AlexStepanenko/secret-codebert-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexStepanenko/secret-codebert-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AlexStepanenko/secret-codebert-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AlexStepanenko/secret-codebert-classifier") model = AutoModelForSequenceClassification.from_pretrained("AlexStepanenko/secret-codebert-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7a7dd22035147f5cb0bbba334f16f6c4100afbbae846fa7ba307bc96951b05c
- Size of remote file:
- 499 MB
- SHA256:
- b135983e20a1bb5a0a4492499ffc4db236637bf4deb5927cb7c8d493d6ecc460
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