Instructions to use neulab/docprompting-codet5-python-doc-retriever with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neulab/docprompting-codet5-python-doc-retriever with Transformers:
# Load model directly from transformers import AutoTokenizer, BERTScorerForCL tokenizer = AutoTokenizer.from_pretrained("neulab/docprompting-codet5-python-doc-retriever") model = BERTScorerForCL.from_pretrained("neulab/docprompting-codet5-python-doc-retriever") - 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 sha256:68ead5550c24bb82b491ea1dedafbf208ad2e13ec569cf793b3945a0022059a3
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size 438439904
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