Instructions to use t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-2000/tokenizer.json from t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net/resolve/main/checkpoint-2000/tokenizer.json
- Command line
-
hf download hf://t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net/checkpoint-2000/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net/resolve/main/checkpoint-2000/tokenizer.json
11.4 MB
- Xet hash:
- dde3c5a4d468da6fe61f11ffa8f04af2d101f8f4a0fe118c37bd31bb8c3017b6
- Size of remote file:
- 11.4 MB
- SHA256:
- be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
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