Instructions to use ammarnasr/codegen-350M-mono-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use ammarnasr/codegen-350M-mono-java with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("ammarnasr/codegen-350M-mono-java", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from ammarnasr/codegen-350M-mono-java: direct link, hf CLI and curl.
- Browser
- Download file 237 Bytes
-
https://huggingface.co/ammarnasr/codegen-350M-mono-java/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://ammarnasr/codegen-350M-mono-java/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/ammarnasr/codegen-350M-mono-java/resolve/main/tokenizer_config.json
237 Bytes
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<|endoftext|>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|endoftext|>", | |
| "model_max_length": 2048, | |
| "tokenizer_class": "CodeGenTokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |