Instructions to use joetey/glued_code_to_code_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joetey/glued_code_to_code_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("joetey/glued_code_to_code_model") model = AutoModelForSeq2SeqLM.from_pretrained("joetey/glued_code_to_code_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from joetey/glued_code_to_code_model: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/joetey/glued_code_to_code_model/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://joetey/glued_code_to_code_model@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/joetey/glued_code_to_code_model/resolve/refs%2Fpr%2F1/model.safetensors
892 MB
- Xet hash:
- 7f243adf59f280f6dce57378ac5f0cdec330cf6e634d68a9bc7e4c690507247d
- Size of remote file:
- 892 MB
- SHA256:
- 660c656fdaefd98b24af4912ce8dfac1a718928fb41f13b5c2bc449521d84bea
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