Instructions to use davda54/wiki-retrieval-50-patch-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davda54/wiki-retrieval-50-patch-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="davda54/wiki-retrieval-50-patch-base", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("davda54/wiki-retrieval-50-patch-base", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25ce3fcae747c39fac3e840a1b54e40f99f74f44ebd506d9532a4172a932724d
- Size of remote file:
- 812 MB
- SHA256:
- be463284eea3e162b0d75881835a3829b241573c0f8a30d8e24315b8ccb9043e
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