Instructions to use terry69/downstream_0.1p_seed42_level2_syntax 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_syntax 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_syntax") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3140fd1062bc2daafd8845b42aa503632a8ee3cf6affb5bcf1f6537ba0a9b2fe
- Size of remote file:
- 6.52 kB
- SHA256:
- 9d481bf979a938fd2bb1ab35bc123f68ac5a42388e1242de207b9adbe4f6a9ff
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