Instructions to use JonathanSum/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JonathanSum/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="JonathanSum/dummy-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("JonathanSum/dummy-model") model = AutoModelForMaskedLM.from_pretrained("JonathanSum/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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First model version
2952560 -
add tokenizer
c2db7aa -
add model
29e67c6 -
initial commit
ea9f10d