Instructions to use allenai/Llama-3.1-Tulu-3-8B-DPO-RM-RB2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/Llama-3.1-Tulu-3-8B-DPO-RM-RB2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="allenai/Llama-3.1-Tulu-3-8B-DPO-RM-RB2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("allenai/Llama-3.1-Tulu-3-8B-DPO-RM-RB2") model = AutoModelForSequenceClassification.from_pretrained("allenai/Llama-3.1-Tulu-3-8B-DPO-RM-RB2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec40a573392b7ebd1ac427ed82abf6363b5ca635e977539ee0fe271d63e93ee9
- Size of remote file:
- 117 MB
- SHA256:
- 6f294d5b1b2b147947d1d561342fd1849ff1c63d2bda2f76675fcffcb8f5160e
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