Instructions to use autopilot-ai/EthicalEye with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use autopilot-ai/EthicalEye with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="autopilot-ai/EthicalEye")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("autopilot-ai/EthicalEye") model = AutoModelForSequenceClassification.from_pretrained("autopilot-ai/EthicalEye") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0eb3d5dca96345844c855ef3fc577e0d8259696f4a29126dca8153bbd67fa0c2
- Size of remote file:
- 1.11 GB
- SHA256:
- 3b2455cbc4512deb4bc2907f5b9622a67c548828e8693db4913feb3626ced0a4
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