Instructions to use mikeee/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mikeee/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mikeee/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mikeee/dummy-model") model = AutoModelForMaskedLM.from_pretrained("mikeee/dummy-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33ff50e44388cb05bbfb1c170ad1dca364a42b668350d05d9a24dd2ebd2beffb
- Size of remote file:
- 443 MB
- SHA256:
- 2bd492c564512fbdcd3088dc1965bddd776b5f2245a954900c8e8feee1e4b860
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