Instructions to use DataHammer/scidpr-question-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DataHammer/scidpr-question-encoder with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("DataHammer/scidpr-question-encoder") model = AutoModel.from_pretrained("DataHammer/scidpr-question-encoder") - 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 sha256:074ce2be942aaa492244ffb5765bb065022b0a51218e3abfb8c51daf53098074
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size 435598504
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