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:
- 3278da5ea992decf8752c3271abc691546e37fc9e5ff1d8b216d4a2f6801a76f
- Size of remote file:
- 336 MB
- SHA256:
- 3b981b13444dd9d6e2fc18746793c5ce2f1d4988b2bd30c5bbef2953a26fdb94
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