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:
- 3861a7a1447f3e599671d530d22c7ebda82aab222bf9d6572429f9b929c6ef99
- Size of remote file:
- 336 MB
- SHA256:
- c8e2249db0e4ac7d172ab6343d6614172dc02beaa363ae3a8daa5bec3acd2ead
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