Instructions to use dimasik87/7ade711c-be63-4624-adab-a91c81508586 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/7ade711c-be63-4624-adab-a91c81508586 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/zephyr-sft") model = PeftModel.from_pretrained(base_model, "dimasik87/7ade711c-be63-4624-adab-a91c81508586") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0d39f327648662291faf8c571b8f36486c7590965e6e8c1c6f8a53d51c69993
- Size of remote file:
- 1.06 kB
- SHA256:
- c188a6a4749e6ca627bb6d536eb7443f499d5b1b88d98a78f9c713443e010d9c
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