Instructions to use RobinWZQ/poisoned_model_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RobinWZQ/poisoned_model_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="RobinWZQ/poisoned_model_1") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("RobinWZQ/poisoned_model_1") model = AutoModel.from_pretrained("RobinWZQ/poisoned_model_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Improve model card: Add pipeline tag, library name, paper & code links, sample usage, and citation (#1)
Verified signature- Improve model card: Add pipeline tag, library name, paper & code links, sample usage, and citation (a655b214a27dac02d1785a716ff75b5a77bb17ad) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>944fc9d
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