Instructions to use nhung02/4ccba7c6-2cfc-4b36-9dbf-6b53ef8fb2d9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung02/4ccba7c6-2cfc-4b36-9dbf-6b53ef8fb2d9 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, "nhung02/4ccba7c6-2cfc-4b36-9dbf-6b53ef8fb2d9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e890a3b40c2807bf4198d5ddb2b7c30274891b789da9a2c720de5c2db62cfc7
- Size of remote file:
- 84 MB
- SHA256:
- 0abaab25561adc47da7e0ff19226197de73d72098bcc722e6025c60e15270e7b
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