Instructions to use ykilcher/totally-harmless-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ykilcher/totally-harmless-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ykilcher/totally-harmless-model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ykilcher/totally-harmless-model") model = AutoModel.from_pretrained("ykilcher/totally-harmless-model") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f0577ade18d26216ee58180f9d2aff69909f823881f47ba274740950929baf4
- Size of remote file:
- 265 MB
- SHA256:
- 2a1c1296c456e7d8922fb0731bb5a2b8e32bf3947aa79d3d1c524e5ade55b57f
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