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:
- 70595c33c3422972ac598ad4f2b3034861305b5aace4c8017fbf64ae17f370d3
- Size of remote file:
- 15 kB
- SHA256:
- 4b4eb08991c7ddd9802b7ca1c2ec415c02c2686023aaa9803684e25d1b6ffe91
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