Instructions to use DeepDream2045/dcf5609c-e90f-4841-accf-f0bfedf4a73c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/dcf5609c-e90f-4841-accf-f0bfedf4a73c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "DeepDream2045/dcf5609c-e90f-4841-accf-f0bfedf4a73c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42e569fb3589fee9e2652ddb6ad06450367ec075bb7cdbc0003009c1df720d12
- Size of remote file:
- 83.9 MB
- SHA256:
- 4fa9cfe9d6090c3ca66c630ed0ae3b4da41621fa919192abd4f55e6f6e3c1e70
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