Instructions to use havinash-ai/052a3e6c-4e81-4e24-bb81-59fa39868f8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/052a3e6c-4e81-4e24-bb81-59fa39868f8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-SOLAR-10.7B") model = PeftModel.from_pretrained(base_model, "havinash-ai/052a3e6c-4e81-4e24-bb81-59fa39868f8b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8bd06bf0ba0542d5d2825b35e937f4a62f046b1fbe0d0b4b895ea2a9619549e6
- Size of remote file:
- 126 MB
- SHA256:
- 4b70bdf565b4852a537bb95a2c1d494493fe2435a73bd899a52bfd8c4f10757a
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