Instructions to use DeepDream2045/b579a441-a51c-4ef7-8196-0b2dd3b7a5f0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/b579a441-a51c-4ef7-8196-0b2dd3b7a5f0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-1.7B") model = PeftModel.from_pretrained(base_model, "DeepDream2045/b579a441-a51c-4ef7-8196-0b2dd3b7a5f0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16d0aa418cdaa851b6adfed42dddbc16e98473e7913451d8684182fde46917d7
- Size of remote file:
- 6.78 kB
- SHA256:
- a70d0846485cdafd0a7436fea292d553999217b0ef267c5fdf257b1d4e71413c
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