Instructions to use ayeshgk/codet5-small-java-buggy-to-fixed-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayeshgk/codet5-small-java-buggy-to-fixed-code with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ayeshgk/codet5-small-java-buggy-to-fixed-code") model = AutoModelForSeq2SeqLM.from_pretrained("ayeshgk/codet5-small-java-buggy-to-fixed-code", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from ayeshgk/codet5-small-java-buggy-to-fixed-code: direct link, hf CLI and curl.
- Browser
- Download file 138 Bytes
-
https://huggingface.co/ayeshgk/codet5-small-java-buggy-to-fixed-code/resolve/main/generation_config.json
- Command line
-
hf download hf://ayeshgk/codet5-small-java-buggy-to-fixed-code/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/ayeshgk/codet5-small-java-buggy-to-fixed-code/resolve/main/generation_config.json
138 Bytes
| { | |
| "bos_token_id": 1, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 2, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.36.0.dev0" | |
| } | |