Instructions to use codesage/codesage-small-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codesage/codesage-small-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import CodeSage model = CodeSage.from_pretrained("codesage/codesage-small-v2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from codesage/codesage-small-v2: direct link, hf CLI and curl.
- Browser
- Download file 40 Bytes
-
https://huggingface.co/codesage/codesage-small-v2/resolve/7122b9b7685a70054009ecb0bf5867c2ea767e09/added_tokens.json
- Command line
-
hf download hf://codesage/codesage-small-v2@7122b9b7685a70054009ecb0bf5867c2ea767e09/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/codesage/codesage-small-v2/resolve/7122b9b7685a70054009ecb0bf5867c2ea767e09/added_tokens.json
40 Bytes
| { | |
| "<mask>": 49152, | |
| "<pad>": 49153 | |
| } | |