Instructions to use flavienbwk/example-dummy-evaluation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flavienbwk/example-dummy-evaluation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("flavienbwk/example-dummy-evaluation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from flavienbwk/example-dummy-evaluation: direct link, hf CLI and curl.
- Browser
- Download file 157 Bytes
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https://huggingface.co/flavienbwk/example-dummy-evaluation/resolve/main/README.md
- Command line
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hf download hf://flavienbwk/example-dummy-evaluation/README.md
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curl -L -o README.md https://huggingface.co/flavienbwk/example-dummy-evaluation/resolve/main/README.md
157 Bytes
metadata
license: mit
This is a dummy model outputting the count of "a" letters in a provided sentence.
To generate the dummy model, run python3 train.py