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:
- 62f9e0b1f4bb7967b6190a1fe6fc614b765559f220418a7af1900ba92eca5505
- Size of remote file:
- 14.2 kB
- SHA256:
- 0767a62b5d8fb0acd110b013fbecf58523519eed3ac20fbbf78f81de62c90cce
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