Instructions to use terry69/downstream_0.1p_seed42_level2_style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use terry69/downstream_0.1p_seed42_level2_style with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "terry69/downstream_0.1p_seed42_level2_style") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88b8d60b864e92d01824ad4db69d306f3e640a5d34a8ad4ff86a12dfb4aa3703
- Size of remote file:
- 6.52 kB
- SHA256:
- 36c631035347e8c19eaee3e6e9d21d3c2e5dbe4407cfea04a04064ea6c310d0d
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