Instructions to use Bugpie/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bugpie/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Bugpie/dummy-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Bugpie/dummy-model") model = AutoModelForMaskedLM.from_pretrained("Bugpie/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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>>> tokenized_sentence
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['▁J', "'", 'aime', '▁le', '▁ca', 'member', 't', '▁!']
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>>> encoded_sentence
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>>> tokenized_sentence
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['▁J', "'", 'aime', '▁le', '▁ca', 'member', 't', '▁!']
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>>> encoded_sentence
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[5, 121, 11, 660, 16, 730, 25543, 110, 83, 6]
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```
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