Instructions to use Salesforce/codet5-base-codexglue-concode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/codet5-base-codexglue-concode with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Salesforce/codet5-base-codexglue-concode") model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/codet5-base-codexglue-concode", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Salesforce/codet5-base-codexglue-concode: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/Salesforce/codet5-base-codexglue-concode/resolve/refs%2Fpr%2F2/model.safetensors
- Command line
-
hf download hf://Salesforce/codet5-base-codexglue-concode@refs/pr/2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Salesforce/codet5-base-codexglue-concode/resolve/refs%2Fpr%2F2/model.safetensors
892 MB
- Xet hash:
- edd56da54be6f27c2d18f91be742c0d86f9c58ad48e0a1319a34bb517825c98d
- Size of remote file:
- 892 MB
- SHA256:
- b81cc00008ecff7c95439eb5e5b5577f6b9435231f8cedf88fc6751596705734
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