Instructions to use davda54/wiki-retrieval-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davda54/wiki-retrieval-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="davda54/wiki-retrieval-base", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("davda54/wiki-retrieval-base", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a5159bc3e5c744ea58b63c0d370c0600e8e9555a672abde5d1ad64740563d47
- Size of remote file:
- 922 MB
- SHA256:
- 065c9018c6e811aeb8805e4f81be78a39e3a7768ca092b3d02ed37e2b51194f2
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