Instructions to use laquythang/5d83e8c6-09da-492f-8f79-6fb26fcd6aef with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/5d83e8c6-09da-492f-8f79-6fb26fcd6aef 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, "laquythang/5d83e8c6-09da-492f-8f79-6fb26fcd6aef") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e28987439e288684e4a8690ce45065d58a77fc0fd630400f1d8c9d94f34ddd58
- Size of remote file:
- 6.78 kB
- SHA256:
- 5a59010b135a39fde6a2eae54e7700769d9c0542e9a225ae72c810b9efb7de8c
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