Instructions to use boimbukanbaim/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boimbukanbaim/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="boimbukanbaim/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("boimbukanbaim/dummy-model") model = AutoModelForMaskedLM.from_pretrained("boimbukanbaim/dummy-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08af88aaa6c5504b0d3a3f500a5995677788cca77b973bef2dc779ea9dec3d17
- Size of remote file:
- 443 MB
- SHA256:
- 82dfc71a0e01e21c70c6c818eabe752c5ccc2d499191ca0c131b5e7935b8525a
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