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)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("davda54/wiki-retrieval-patch-small", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from davda54/wiki-retrieval-patch-small: direct link, hf CLI and curl.
- Browser
- Download file 254 MB
-
https://huggingface.co/davda54/wiki-retrieval-patch-small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://davda54/wiki-retrieval-patch-small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/davda54/wiki-retrieval-patch-small/resolve/main/pytorch_model.bin
254 MB
- Xet hash:
- 2a8cec42ffe010979209e87a34553be42cd0047a00bf725d21636f5d18ba6b50
- Size of remote file:
- 254 MB
- SHA256:
- 7a2775c30659c2f8e0f93a22f399482591078a30c0cb296a5a782476403390d0
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