Instructions to use CodeDPO/AceCodeRM-LLama3.1-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeDPO/AceCodeRM-LLama3.1-8B with Transformers:
# Load model directly from transformers import AutoTokenizer, AceCoderLlamaForCausalRM tokenizer = AutoTokenizer.from_pretrained("CodeDPO/AceCodeRM-LLama3.1-8B") model = AceCoderLlamaForCausalRM.from_pretrained("CodeDPO/AceCodeRM-LLama3.1-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 512 Bytes
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"additional_special_tokens": [
"<|eot_id|>",
"<|eom_id|>"
],
"bos_token": {
"content": "<|begin_of_text|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"eos_token": {
"content": "<|eot_id|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"pad_token": {
"content": "<|eot_id|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
}
}
|