Instructions to use Existance/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Existance/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Existance/output")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Existance/output") model = AutoModelForMaskedLM.from_pretrained("Existance/output") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 469c49c19abbd46ce11174449c1d18c88a170fe7c169e976846dd34c6735be0f
- Size of remote file:
- 4.03 kB
- SHA256:
- 6b21e1016f48faddd979d5aecc6abfdbbd2eb57a4ae563becc3f833ef8e748c5
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