Instructions to use davda54/wiki-retrieval-patch-xs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davda54/wiki-retrieval-patch-xs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="davda54/wiki-retrieval-patch-xs", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("davda54/wiki-retrieval-patch-xs", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b98d9f8a07573adc6db008a51820c2cbd49c49591dec545ed8165685bce20303
- Size of remote file:
- 108 MB
- SHA256:
- 0eee741824f363aa8bd4cd84ecfdde19032aa5030ba45ace7d20b3cb2893560a
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