Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8b369362f865a89fff2447f4722389ec2c5ea1cbc82d05b07d4da5acced59f3
- Size of remote file:
- 5.27 kB
- SHA256:
- 26b676e39f210f9398a34e32c1f2740f0d708e6d6e89953eed64913c83e446fc
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