Text Classification
Transformers
Safetensors
roberta
cryptography
cryptanalysis
classical-ciphers
cybersecurity-education
text-embeddings-inference
Instructions to use systemslibrarian/cipher-detective-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use systemslibrarian/cipher-detective-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="systemslibrarian/cipher-detective-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("systemslibrarian/cipher-detective-classifier") model = AutoModelForSequenceClassification.from_pretrained("systemslibrarian/cipher-detective-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc69bf2566bcd8f968c7656a136dc0426f6dec1abe0bd4f16b8a0b5f9eb110e8
- Size of remote file:
- 5.84 kB
- SHA256:
- a42f9afed3831a6213d045456aaabc09e463ef5071ec40254aab22a7fae93209
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