Instructions to use dimasik87/8102bae9-c442-4a29-848f-946f8771f1f9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/8102bae9-c442-4a29-848f-946f8771f1f9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "dimasik87/8102bae9-c442-4a29-848f-946f8771f1f9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e494175f49008cdaadc874090b6eb173ebe09d2e1277d997a8e2ff446948f289
- Size of remote file:
- 6.78 kB
- SHA256:
- 3a3833977106fac48f5d71407b1a01067110c5fbf699342151524802ba318de1
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