Instructions to use davda54/wiki-retrieval-patch-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davda54/wiki-retrieval-patch-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="davda54/wiki-retrieval-patch-base", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("davda54/wiki-retrieval-patch-base", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f1e6d2d6f97e2702a3f5afbff562725b402fa85a7fa62dab011f48685c5df17
- Size of remote file:
- 812 MB
- SHA256:
- 4a7e4d017691fffc6ff2c47654cc665f8a00a31494a23894e1e254274d179ca4
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