Instructions to use havinash-ai/65358531-f6a2-46f2-b5fe-9c1b727527e8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/65358531-f6a2-46f2-b5fe-9c1b727527e8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Theta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "havinash-ai/65358531-f6a2-46f2-b5fe-9c1b727527e8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73cb8260ea28db8fa55ec270555122c68a9738df7e75fa06e1db6602333758ea
- Size of remote file:
- 2.27 GB
- SHA256:
- 23a6b42962b0b27f1b6730dfcfeaffaec0dae90f1ac9b4da707c4bfe38a4d0e2
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