Instructions to use vsrinivas/dummy_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vsrinivas/dummy_model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vsrinivas/dummy_model2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vsrinivas/dummy_model2") model = AutoModelForMaskedLM.from_pretrained("vsrinivas/dummy_model2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 427b27021a417461a6abf53aff8a43310bf18df5be2e831b3199d195ed2a06ec
- Size of remote file:
- 433 MB
- SHA256:
- 66316caf11540dd0e1d881fc2f86b653cfda40893eb3964515a907d7acd6f057
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