Instructions to use DeepDream2045/85db3e7e-5f6d-4f47-9e12-5354a40e73d1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/85db3e7e-5f6d-4f47-9e12-5354a40e73d1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "DeepDream2045/85db3e7e-5f6d-4f47-9e12-5354a40e73d1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 947cfb66df7d3202dcd54d78e38b32d86818d179c655b0bd5d6cb084c4b735d7
- Size of remote file:
- 671 MB
- SHA256:
- 0dce67f326b5c32cb25ce7d256a25b471daf4c1c546f25b4e3d795a5271bef8a
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