Instructions to use TIGER-Lab/AceCodeRM-32B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TIGER-Lab/AceCodeRM-32B with Transformers:
# Load model directly from transformers import AutoTokenizer, Qwen2ForCausalRM tokenizer = AutoTokenizer.from_pretrained("TIGER-Lab/AceCodeRM-32B") model = Qwen2ForCausalRM.from_pretrained("TIGER-Lab/AceCodeRM-32B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
6744347 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ba0c439f7be467bf47d12a7e6f9adc6116201056fc60c67f431c679b7c16afc8
size 11422064
|