Instructions to use Teradata/codesage-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Teradata/codesage-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Teradata/codesage-base", trust_remote_code=True)# Load model directly from transformers import CodeSage model = CodeSage.from_pretrained("Teradata/codesage-base", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": false, | |
| "additional_special_tokens": [ | |
| "<|endoftext|>", | |
| "<fim_prefix>", | |
| "<fim_middle>", | |
| "<fim_suffix>", | |
| "<fim_pad>", | |
| "<filename>", | |
| "<gh_stars>", | |
| "<issue_start>", | |
| "<issue_comment>", | |
| "<issue_closed>", | |
| "<jupyter_start>", | |
| "<jupyter_text>", | |
| "<jupyter_code>", | |
| "<jupyter_output>", | |
| "<empty_output>", | |
| "<commit_before>", | |
| "<commit_msg>", | |
| "<commit_after>", | |
| "<reponame>" | |
| ], | |
| "bos_token": "<|endoftext|>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|endoftext|>", | |
| "add_eos_token": true, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "unk_token": "<|endoftext|>", | |
| "vocab_size": 49152, | |
| "tokenizer_class": "CodeSageTokenizer", | |
| "auto_map": { | |
| "AutoTokenizer": ["tokenization_codesage.CodeSageTokenizer", null] | |
| } | |
| } | |