Instructions to use aleegis12/9af7c770-493a-4eb8-b6d9-2716931a4ccc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/9af7c770-493a-4eb8-b6d9-2716931a4ccc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-1.7B") model = PeftModel.from_pretrained(base_model, "aleegis12/9af7c770-493a-4eb8-b6d9-2716931a4ccc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f76d3860b5e1998a78f8b11d3c70acc2573e0b21dacf088e0ed8d65674a82248
- Size of remote file:
- 6.84 kB
- SHA256:
- e11a6f41ada27c80ec0224451887ecae2956ce77df12439a07e3727f15230d98
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