Instructions to use dimasik87/789db1f9-602a-4277-932a-b2aecaa0c916 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/789db1f9-602a-4277-932a-b2aecaa0c916 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, "dimasik87/789db1f9-602a-4277-932a-b2aecaa0c916") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c3e738907ebbc81cf2cb623448b7bb0cdf6bad9c3c16f95a7fdde18a1d0b880
- Size of remote file:
- 6.78 kB
- SHA256:
- 012ea221233424710841edcee07506453131e4021ef19b34aeab606fae759b88
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