Instructions to use Jayfeather1024/rm_30k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jayfeather1024/rm_30k with Transformers:
# Load model directly from transformers import AutoTokenizer, LlamaModelForScore tokenizer = AutoTokenizer.from_pretrained("Jayfeather1024/rm_30k") model = LlamaModelForScore.from_pretrained("Jayfeather1024/rm_30k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 827eba5aac959b7f860c32d49d40004e9f731cbe5278ad61fb4a728c506e66a0
- Size of remote file:
- 26.4 GB
- SHA256:
- 63ad93ceaa8fea8843727c34dc01cbef154a0dce8fe6fbc496226572a9fe4944
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