Instructions to use Salesforce/LLaMA-3-8B-SFR-RM-R with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/LLaMA-3-8B-SFR-RM-R with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Salesforce/LLaMA-3-8B-SFR-RM-R")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Salesforce/LLaMA-3-8B-SFR-RM-R") model = AutoModelForSequenceClassification.from_pretrained("Salesforce/LLaMA-3-8B-SFR-RM-R") - Notebooks
- Google Colab
- Kaggle
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This is the RM model for Salesforce/SFR-Iterative-DPO-LLaMA-3-8B-R. It is a Vanilla BT based Reward model.
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## Model Releases
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license: llama3
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# LLaMA-3-8B-SFR-RM-R
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This is the RM model for Salesforce/SFR-Iterative-DPO-LLaMA-3-8B-R. It is a Vanilla BT based Reward model.
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## Model Releases
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