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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from neulab/docprompting-codet5-python-doc-retriever: direct link, hf CLI and curl.
- Browser
- Download file 877 MB
-
https://huggingface.co/neulab/docprompting-codet5-python-doc-retriever/resolve/main/optimizer.pt
- Command line
-
hf download hf://neulab/docprompting-codet5-python-doc-retriever/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/neulab/docprompting-codet5-python-doc-retriever/resolve/main/optimizer.pt
877 MB
- Xet hash:
- 8b0a19707868f0dcc20d5ffb74e0be15b72fc0aed141381e82ccd4a1309aa98e
- Size of remote file:
- 877 MB
- SHA256:
- 2c6f76e211e9d0705638f48386b736b24e21b5656db033990ffd3655cb4dc838
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