Instructions to use McGill-NLP/dpr-statcan-metadata_encoder-basic_and_member with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use McGill-NLP/dpr-statcan-metadata_encoder-basic_and_member with Transformers:
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("McGill-NLP/dpr-statcan-metadata_encoder-basic_and_member") model = DPRContextEncoder.from_pretrained("McGill-NLP/dpr-statcan-metadata_encoder-basic_and_member") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:43d4dd55292486ad7c2ca6dd66383e54a6bec0d7bb51e9c6bad2a6a7223ff80f
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size 437960112
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