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:
- 7064265c2039b57e133e1fd4504d9cd14ae44b9c023193bba28e36f6111274be
- Size of remote file:
- 1.06 kB
- SHA256:
- 228dedb85d53fc97459f48d6eabe2d8c2c9e45f313c298a4c28d5492b81d5fd8
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