Instructions to use sapphirejade/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sapphirejade/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sapphirejade/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sapphirejade/dummy-model") model = AutoModelForMaskedLM.from_pretrained("sapphirejade/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcf3c9725c884b4efc871b75dc17850d4ecd328892a2386968763ef7831cc3a4
- Size of remote file:
- 443 MB
- SHA256:
- 23e1f14b75018101481e65aefeffb815098616e0ab9078b3971674d16750c5d2
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