Instructions to use Salesforce/codet5-base-codexglue-sum-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/codet5-base-codexglue-sum-java with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Salesforce/codet5-base-codexglue-sum-java") model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/codet5-base-codexglue-sum-java", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Salesforce/codet5-base-codexglue-sum-java: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/Salesforce/codet5-base-codexglue-sum-java/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://Salesforce/codet5-base-codexglue-sum-java@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Salesforce/codet5-base-codexglue-sum-java/resolve/refs%2Fpr%2F1/model.safetensors
892 MB
- Xet hash:
- a8f08bebe5ca536f0b11321dbbe5bf2ea71a6653b3a6a059bbf84c25ca556ee8
- Size of remote file:
- 892 MB
- SHA256:
- a5abca8e5fb5604f6b2c75cb077017b72a597088fd4032ad1a7887ef3161437a
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