Instructions to use nhung03/3ca7c082-d5e5-4737-80b0-c095aaf8eb46 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung03/3ca7c082-d5e5-4737-80b0-c095aaf8eb46 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama-chat") model = PeftModel.from_pretrained(base_model, "nhung03/3ca7c082-d5e5-4737-80b0-c095aaf8eb46") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4249f470d35fb0367659c0c4b756442c922629cdb254ff24d2d95cccec57baa
- Size of remote file:
- 6.78 kB
- SHA256:
- eb07a774162c720bc840c75cba7ce9e9b6920b6c457aaaa7fbb5ec7d58277e1e
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