Instructions to use Teradata/codesage-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Teradata/codesage-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Teradata/codesage-large", trust_remote_code=True)# Load model directly from transformers import CodeSage model = CodeSage.from_pretrained("Teradata/codesage-large", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 119 Bytes
d1795c6 | 1 2 3 4 5 6 7 | {
"_from_model_config": true,
"bos_token_id": 50256,
"eos_token_id": 50256,
"transformers_version": "4.28.1"
}
|