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:
- f8a745836aa66d6263bf0398be3e8bfca3d22a520fc62000cc910e9d03a65b90
- Size of remote file:
- 4.92 GB
- SHA256:
- fa390cceb5f310a085552613af735767e42a381d1bd6a7bd3d4cdd50b11f2148
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