How to use Teradata/codesage-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Teradata/codesage-small", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import CodeSage model = CodeSage.from_pretrained("Teradata/codesage-small", trust_remote_code=True, device_map="auto")
https://huggingface.co/Teradata/codesage-small/resolve/main/tokenizer.json
hf download hf://Teradata/codesage-small/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Teradata/codesage-small/resolve/main/tokenizer.json
