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:
- 441d4ec216ba7d142e056a09de2062a1f2dd2b028545e6c39bbdd66eff9d85ce
- Size of remote file:
- 6.78 kB
- SHA256:
- 53498a7c0eb2da5921f6774a64a134f548e86623009733baf5d2a90ab2bbe17d
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