Instructions to use robiulawaldev/7a9ade61-f783-4dcb-80dd-bcac1bcbeeb1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use robiulawaldev/7a9ade61-f783-4dcb-80dd-bcac1bcbeeb1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "robiulawaldev/7a9ade61-f783-4dcb-80dd-bcac1bcbeeb1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ea2542cc1969f69559bf02f3cd9e4ec64a831288f9da53f77f5177d4b5e86ce
- Size of remote file:
- 39.2 MB
- SHA256:
- a0e4c359ab6f52c72075841100be175056edac804a1bf4bbcf93e7eb75706c33
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