Instructions to use berkeley-nest/Starling-RM-7B-alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use berkeley-nest/Starling-RM-7B-alpha with Transformers:
# Load model directly from transformers import AutoTokenizer, LLMForSequenceRegression tokenizer = AutoTokenizer.from_pretrained("berkeley-nest/Starling-RM-7B-alpha") model = LLMForSequenceRegression.from_pretrained("berkeley-nest/Starling-RM-7B-alpha") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
6f8f5dc | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b0970cf0f8a8b2c721397d2b59e62220a6e0b2228225ba1537abeaf5fd367de8
size 5307
|