Instructions to use davda54/wiki-retrieval-patch-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davda54/wiki-retrieval-patch-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="davda54/wiki-retrieval-patch-small", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("davda54/wiki-retrieval-patch-small", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a8cec42ffe010979209e87a34553be42cd0047a00bf725d21636f5d18ba6b50
- Size of remote file:
- 254 MB
- SHA256:
- 7a2775c30659c2f8e0f93a22f399482591078a30c0cb296a5a782476403390d0
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