Instructions to use t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R5000 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-R5000 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R5000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 375 Bytes
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"backend": "tokenizers",
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"errors": "replace",
"is_local": false,
"model_max_length": 40960,
"pad_token": "<|vision_pad|>",
"padding_side": "left",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null
}
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