Instructions to use davda54/wiki-retrieval-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davda54/wiki-retrieval-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="davda54/wiki-retrieval-small", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("davda54/wiki-retrieval-small", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 416eced7d6683a8f20d5c6774f6e9ebbbc6e8a6627e7d0160c52f442d7b0da2c
- Size of remote file:
- 300 MB
- SHA256:
- d7125039a3b8222dfbe359a29950c30e38fc0c3c7a5fafa455263117b0dcf243
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