Instructions to use eeeebbb2/a6525279-79c1-4568-9071-4ce869a9df4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/a6525279-79c1-4568-9071-4ce869a9df4b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Mistral-7B") model = PeftModel.from_pretrained(base_model, "eeeebbb2/a6525279-79c1-4568-9071-4ce869a9df4b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9050c69d08190c319b6b7624ceb8e16f3c32633389203343a2bfdc4df019bb50
- Size of remote file:
- 15 kB
- SHA256:
- f3218315f4932e7fdc292279df92031055a5b9ba7fae75584f15896ff0f500d3
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