Instructions to use DeepDream2045/650f6b00-aa88-4851-8c12-6af3c6d61932 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/650f6b00-aa88-4851-8c12-6af3c6d61932 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0") model = PeftModel.from_pretrained(base_model, "DeepDream2045/650f6b00-aa88-4851-8c12-6af3c6d61932") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a800e11224f3d93a4747360066a98414b9daf43e7147706964c629b386eef4a
- Size of remote file:
- 6.78 kB
- SHA256:
- ac4373109531c2882a296e182e979746d50a4f4f572d0bdc684f13100fd6d748
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