Instructions to use documatic/code_t5_small_git_diff_7k_dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use documatic/code_t5_small_git_diff_7k_dataset with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("documatic/code_t5_small_git_diff_7k_dataset") model = AutoModelForSeq2SeqLM.from_pretrained("documatic/code_t5_small_git_diff_7k_dataset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from documatic/code_t5_small_git_diff_7k_dataset: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/documatic/code_t5_small_git_diff_7k_dataset/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://documatic/code_t5_small_git_diff_7k_dataset@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/documatic/code_t5_small_git_diff_7k_dataset/resolve/refs%2Fpr%2F1/model.safetensors
242 MB
- Xet hash:
- d3745e291e7d3e5a79a1d6114a55767d88d71292608dd3be88626a5d90d9b30e
- Size of remote file:
- 242 MB
- SHA256:
- 86541caa24a83ee677832a69c6f88d2955311ccd580b5d77afd9f8146362b506
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