Instructions to use davda54/wiki-retrieval-25-patch-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davda54/wiki-retrieval-25-patch-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="davda54/wiki-retrieval-25-patch-base", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("davda54/wiki-retrieval-25-patch-base", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6711174e119d942c5f153d9054f789aff898178315f8889cb8a628557ec6f300
- Size of remote file:
- 812 MB
- SHA256:
- 401503c0150e5ab8b290e95397df2881c0a36df4a1cc70ae5c19a8a5b3502775
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