Instructions to use v1n8/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use v1n8/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="v1n8/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("v1n8/dummy-model") model = AutoModelForMaskedLM.from_pretrained("v1n8/dummy-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5db57bb7a09a0481a4b3282988488391975160f0ab152a8ee9cb96927e96effc
- Size of remote file:
- 443 MB
- SHA256:
- 61f34945015026c448d0f9329fa178504bef78c17a3a847bd3ac2dcdf4a4ed8e
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