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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4740865383b5dd89f33bf58ef40bc3354c3428a60818ca9fc3c0869e5ab5d17f
- Size of remote file:
- 438 MB
- SHA256:
- cb9e86a60db1f3a982f055705e25da4e280cefa765aae11fd0d71a5efe0dc7b1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.