Instructions to use Pre-to-Post-2/sft_200m_generated_fixed_pe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pre-to-Post-2/sft_200m_generated_fixed_pe with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Pre-to-Post-2/sft_200m_generated_fixed_pe", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- C6p5e18_200m_alpha0.100_beta0.100
- C6p5e18_200m_alpha0.200_beta0.100
- C6p5e18_200m_alpha0.750_beta0.100
- C6p5e18_200m_alpha1.000_beta0.100
- C6p5e18_20m_alpha0.010_beta0.008
- C6p5e18_20m_alpha0.030_beta0.008
- C6p5e18_20m_alpha0.050_beta0.008
- C6p5e18_20m_alpha0.100_beta0.008
- C6p5e18_20m_alpha0.200_beta0.008
- C6p5e18_20m_alpha0.300_beta0.008
- C6p5e18_20m_alpha0.600_beta0.008
- C6p5e18_20m_alpha0.750_beta0.008
- C6p5e18_20m_alpha1.000_beta0.008
- C6p5e18_50m_alpha0.010_beta0.023
- C6p5e18_50m_alpha0.030_beta0.023
- C6p5e18_50m_alpha0.050_beta0.023
- C6p5e18_50m_alpha0.100_beta0.023
- C6p5e18_50m_alpha0.200_beta0.023
- C6p5e18_50m_alpha0.400_beta0.023
- C6p5e18_50m_alpha0.750_beta0.023
- C6p5e18_50m_alpha1.000_beta0.023
- C6p5e19_200m_alpha0.200_beta0.007
- C6p5e19_200m_alpha0.400_beta0.007
- C6p5e19_200m_alpha0.750_beta0.007
- C6p5e19_200m_alpha1.000_beta0.007
- C6p5e19_50m_alpha0.180_beta0.002
- 1.52 kB
- 2.61 kB