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
| { | |
| "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 | |
| } | |
| } | |