Instructions to use retinol/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use retinol/results 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, "retinol/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f42c2aa2cd15c692caba752c0d17c142bd57f8c195b0eff37d329006fcb515f
- Size of remote file:
- 5.37 kB
- SHA256:
- 78e01d17c3fcac1d938e47d41fc9e34c6e736e6f6ec429450337fc6d9add6f12
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