Instructions to use MickyMike/codet5p-220m-repair with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MickyMike/codet5p-220m-repair with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MickyMike/codet5p-220m-repair") model = AutoModelForSeq2SeqLM.from_pretrained("MickyMike/codet5p-220m-repair", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from MickyMike/codet5p-220m-repair: direct link, hf CLI and curl.
- Browser
- Download file 1.37 MB
-
https://huggingface.co/MickyMike/codet5p-220m-repair/resolve/main/tokenizer.json
- Command line
-
hf download hf://MickyMike/codet5p-220m-repair/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MickyMike/codet5p-220m-repair/resolve/main/tokenizer.json
1.37 MB
File too large to display, you can check the raw version instead.