Instructions to use shiontendon/error_diagnostic_model_codeT5_324token with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shiontendon/error_diagnostic_model_codeT5_324token with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shiontendon/error_diagnostic_model_codeT5_324token") model = AutoModelForSeq2SeqLM.from_pretrained("shiontendon/error_diagnostic_model_codeT5_324token", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from shiontendon/error_diagnostic_model_codeT5_324token: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/shiontendon/error_diagnostic_model_codeT5_324token/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://shiontendon/error_diagnostic_model_codeT5_324token/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/shiontendon/error_diagnostic_model_codeT5_324token/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 17cfa07a6baf401ca879388e05edb1ca7a44d64fd3663492d8a6a82609d1ced8
- Size of remote file:
- 892 MB
- SHA256:
- 88a1b6a8f6abdec583b2359b49d2b6c11fa535d169dc278545d3233c77a6d45f
路
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