Instructions to use Salesforce/codet5-base-multi-sum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/codet5-base-multi-sum with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Salesforce/codet5-base-multi-sum") model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/codet5-base-multi-sum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Salesforce/codet5-base-multi-sum: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/Salesforce/codet5-base-multi-sum/resolve/refs%2Fpr%2F3/pytorch_model.bin
- Command line
-
hf download hf://Salesforce/codet5-base-multi-sum@refs/pr/3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Salesforce/codet5-base-multi-sum/resolve/refs%2Fpr%2F3/pytorch_model.bin
892 MB
- Xet hash:
- 56f36ee42fc0f2125d9375b433f0e7f4511d600b4a61f58eb6351ebaa9bcfa6c
- Size of remote file:
- 892 MB
- SHA256:
- 0f6e45a9d26d43b988048ddffc0511d4fd15b6d7ebc87374a45b4acab052bbcd
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