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:
- d9610d6410b8b5b704d796bebea665466a88487b6a97ea0523497ca881993f0d
- Size of remote file:
- 5 GB
- SHA256:
- 9733ebc212f7c64cb71eabe4dca7281e5320c5e81076eeaf94f89f5119907b2b
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