Instructions to use hsiehpinghan/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hsiehpinghan/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hsiehpinghan/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hsiehpinghan/dummy-model") model = AutoModelForMaskedLM.from_pretrained("hsiehpinghan/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): b5f8614
Upload .gitconfig
Browse files- .gitconfig +5 -0
.gitconfig
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[filter "lfs"]
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clean = git-lfs clean -- %f
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smudge = git-lfs smudge -- %f
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process = git-lfs filter-process
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required = true
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